From e4fe2ead4ec79fca46ef6f79b03607c10bcddac1 Mon Sep 17 00:00:00 2001 From: kevinsung Date: Wed, 30 Oct 2024 17:30:41 +0000 Subject: [PATCH] =?UTF-8?q?Deploying=20to=20gh-pages=20from=20@=20qiskit-c?= =?UTF-8?q?ommunity/ffsim@fd35d10c001ab1c9259dbe5c7e704b9e290937e9=20?= =?UTF-8?q?=F0=9F=9A=80?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .buildinfo | 2 +- .doctrees/api/ffsim.contract.doctree | Bin 73890 -> 73728 bytes .doctrees/api/ffsim.doctree | Bin 1471580 -> 1375959 bytes .doctrees/api/ffsim.linalg.doctree | Bin 181542 -> 181380 bytes .doctrees/api/ffsim.optimize.doctree | Bin 41487 -> 41325 bytes .doctrees/api/ffsim.qiskit.doctree | Bin 407467 -> 366444 bytes .doctrees/api/ffsim.random.doctree | Bin 142642 -> 164092 bytes .doctrees/api/ffsim.testing.doctree | Bin 53056 -> 52894 bytes .doctrees/api/index.doctree | Bin 3458 -> 3296 bytes .doctrees/environment.pickle | Bin 968894 -> 917050 bytes 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"2024-10-10T17:21:16.106211Z", - "shell.execute_reply": "2024-10-10T17:21:16.105617Z" + "iopub.execute_input": "2024-10-30T17:27:09.946610Z", + "iopub.status.busy": "2024-10-30T17:27:09.946246Z", + "iopub.status.idle": "2024-10-30T17:27:10.205482Z", + "shell.execute_reply": "2024-10-30T17:27:10.204872Z" } }, "outputs": [ diff --git a/.doctrees/nbsphinx/explanations/state-vectors-and-gates.ipynb b/.doctrees/nbsphinx/explanations/state-vectors-and-gates.ipynb index a8d4b3f18..03037223a 100644 --- a/.doctrees/nbsphinx/explanations/state-vectors-and-gates.ipynb +++ b/.doctrees/nbsphinx/explanations/state-vectors-and-gates.ipynb @@ -26,10 +26,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:21:18.719941Z", - "iopub.status.busy": "2024-10-10T17:21:18.719728Z", - "iopub.status.idle": "2024-10-10T17:21:19.426888Z", - "shell.execute_reply": "2024-10-10T17:21:19.426214Z" + "iopub.execute_input": "2024-10-30T17:27:12.686986Z", + "iopub.status.busy": 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- "shell.execute_reply": "2024-10-10T17:21:19.453944Z" + "iopub.execute_input": "2024-10-30T17:27:13.472845Z", + "iopub.status.busy": "2024-10-30T17:27:13.472504Z", + "iopub.status.idle": "2024-10-30T17:27:13.478847Z", + "shell.execute_reply": "2024-10-30T17:27:13.478263Z" } }, "outputs": [ @@ -245,10 +245,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:21:19.456383Z", - "iopub.status.busy": "2024-10-10T17:21:19.456043Z", - "iopub.status.idle": "2024-10-10T17:21:19.461634Z", - "shell.execute_reply": "2024-10-10T17:21:19.461104Z" + "iopub.execute_input": "2024-10-30T17:27:13.480833Z", + "iopub.status.busy": "2024-10-30T17:27:13.480646Z", + "iopub.status.idle": "2024-10-30T17:27:13.488132Z", + "shell.execute_reply": "2024-10-30T17:27:13.487481Z" } }, "outputs": [ @@ -293,10 +293,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:21:19.463650Z", - "iopub.status.busy": 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zt0C7)RP>V`bZbpcrLm=V+MB*bce^O=W{-Ma>xe8&r7>5vC9=0txlN<|v}*1fO4!EN zbH?(L)CE`PmOKt?-;K`{$*Wc z{r3jn`D^g8`{t!F&7Z;crVR*jOyElJby$7ns7NNWwna6%6-CYeiqo_HM>fR&>~Z~X ci2|IUg`E=ZVikQiLy~iq71ZS8\n", + "Overwritten attributes get_ovlp get_hcore of \n", "/home/runner/work/ffsim/ffsim/.tox/docs/lib/python3.12/site-packages/pyscf/gto/mole.py:1294: UserWarning: Function mol.dumps drops attribute energy_nuc because it is not JSON-serializable\n", " warnings.warn(msg)\n", "/home/runner/work/ffsim/ffsim/.tox/docs/lib/python3.12/site-packages/pyscf/gto/mole.py:1294: UserWarning: Function mol.dumps drops attribute intor_symmetric because it is not JSON-serializable\n", @@ -125,10 +125,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:21:22.179665Z", - "iopub.status.busy": "2024-10-10T17:21:22.179197Z", - "iopub.status.idle": "2024-10-10T17:21:22.187320Z", - "shell.execute_reply": "2024-10-10T17:21:22.186782Z" + "iopub.execute_input": "2024-10-30T17:27:16.192782Z", + "iopub.status.busy": "2024-10-30T17:27:16.191812Z", + "iopub.status.idle": "2024-10-30T17:27:16.197126Z", + "shell.execute_reply": "2024-10-30T17:27:16.196496Z" } }, "outputs": [], @@ -168,10 +168,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:21:22.190592Z", - "iopub.status.busy": "2024-10-10T17:21:22.189798Z", - "iopub.status.idle": "2024-10-10T17:21:22.194034Z", - "shell.execute_reply": "2024-10-10T17:21:22.193504Z" + "iopub.execute_input": "2024-10-30T17:27:16.199239Z", + "iopub.status.busy": "2024-10-30T17:27:16.198907Z", + "iopub.status.idle": "2024-10-30T17:27:16.202157Z", + "shell.execute_reply": "2024-10-30T17:27:16.201587Z" } }, "outputs": [], @@ -200,10 +200,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:21:22.197268Z", - "iopub.status.busy": "2024-10-10T17:21:22.196465Z", - "iopub.status.idle": "2024-10-10T17:21:22.332000Z", - "shell.execute_reply": "2024-10-10T17:21:22.331466Z" + "iopub.execute_input": "2024-10-30T17:27:16.204104Z", + "iopub.status.busy": "2024-10-30T17:27:16.203683Z", + "iopub.status.idle": "2024-10-30T17:27:16.329816Z", + "shell.execute_reply": "2024-10-30T17:27:16.329288Z" } }, "outputs": [ @@ -211,7 +211,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Energy at initialialization: -75.67794403659725\n" + "Energy at initialialization: -75.67794403659722\n" ] } ], @@ -238,10 +238,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:21:22.334154Z", - "iopub.status.busy": "2024-10-10T17:21:22.333777Z", - "iopub.status.idle": "2024-10-10T17:21:30.189519Z", - "shell.execute_reply": "2024-10-10T17:21:30.188878Z" + "iopub.execute_input": "2024-10-30T17:27:16.331912Z", + "iopub.status.busy": "2024-10-30T17:27:16.331528Z", + "iopub.status.idle": "2024-10-30T17:27:24.335381Z", + "shell.execute_reply": "2024-10-30T17:27:24.334806Z" } }, "outputs": [ @@ -253,10 +253,10 @@ " message: STOP: TOTAL NO. of f AND g EVALUATIONS EXCEEDS LIMIT\n", " success: False\n", " status: 1\n", - " fun: -75.68381563541598\n", - " x: [-1.603e-01 6.417e-03 ... 5.748e-02 -1.005e-01]\n", + " fun: -75.68381560472928\n", + " x: [-1.603e-01 6.420e-03 ... 5.748e-02 -1.005e-01]\n", " nit: 3\n", - " jac: [ 2.174e-04 1.108e-04 ... -4.748e-03 7.435e-03]\n", + " jac: [ 2.146e-04 1.094e-04 ... -4.751e-03 7.424e-03]\n", " nfev: 112\n", " njev: 7\n", " hess_inv: <15x15 LbfgsInvHessProduct with dtype=float64>\n" diff --git a/.doctrees/nbsphinx/how-to-guides/fermion-operator.ipynb b/.doctrees/nbsphinx/how-to-guides/fermion-operator.ipynb index 49adb9e3e..02901c580 100644 --- a/.doctrees/nbsphinx/how-to-guides/fermion-operator.ipynb +++ b/.doctrees/nbsphinx/how-to-guides/fermion-operator.ipynb @@ -29,10 +29,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:21:31.695901Z", - "iopub.status.busy": "2024-10-10T17:21:31.695687Z", - "iopub.status.idle": "2024-10-10T17:21:32.411527Z", - "shell.execute_reply": "2024-10-10T17:21:32.410915Z" + "iopub.execute_input": "2024-10-30T17:27:26.120139Z", + "iopub.status.busy": "2024-10-30T17:27:26.119528Z", + "iopub.status.idle": "2024-10-30T17:27:26.847863Z", + "shell.execute_reply": "2024-10-30T17:27:26.847316Z" } }, "outputs": [ @@ -76,10 +76,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:21:32.413794Z", - "iopub.status.busy": "2024-10-10T17:21:32.413364Z", - "iopub.status.idle": "2024-10-10T17:21:32.417558Z", - "shell.execute_reply": "2024-10-10T17:21:32.417078Z" + "iopub.execute_input": "2024-10-30T17:27:26.850083Z", + "iopub.status.busy": "2024-10-30T17:27:26.849602Z", + "iopub.status.idle": "2024-10-30T17:27:26.853689Z", + "shell.execute_reply": "2024-10-30T17:27:26.853139Z" } }, "outputs": [ @@ -110,10 +110,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:21:32.419324Z", - "iopub.status.busy": "2024-10-10T17:21:32.419143Z", - "iopub.status.idle": "2024-10-10T17:21:32.423352Z", - "shell.execute_reply": "2024-10-10T17:21:32.422897Z" + "iopub.execute_input": "2024-10-30T17:27:26.855622Z", + "iopub.status.busy": "2024-10-30T17:27:26.855205Z", + "iopub.status.idle": "2024-10-30T17:27:26.859459Z", + "shell.execute_reply": "2024-10-30T17:27:26.859004Z" } }, "outputs": [ @@ -121,17 +121,17 @@ "data": { "text/plain": [ "FermionOperator({\n", + " (cre_a(3), des_a(0)): -0.5,\n", " (cre_b(2)): 0-0.25j,\n", - " (cre_a(3), des_a(0), cre_b(2)): 0-0.25j,\n", - " (cre_a(3), des_a(0), des_a(3), des_b(3)): 0.0625,\n", " (des_a(3), des_b(3)): 0.0625,\n", + " (cre_a(0), des_a(3), cre_b(2)): 0+0.5j,\n", + " (cre_b(1), des_b(5), cre_a(4), cre_b(2)): -1+1j,\n", " (cre_a(0), des_a(3)): 1,\n", " (cre_b(1), des_b(5), cre_a(4)): 2+2j,\n", - " (cre_b(1), des_b(5), cre_a(4), cre_b(2)): -1+1j,\n", - " (cre_a(3), des_a(0)): -0.5,\n", + " (cre_a(3), des_a(0), des_a(3), des_b(3)): 0.0625,\n", " (cre_b(1), des_b(5), cre_a(4), des_a(3), des_b(3)): -0.25-0.25j,\n", - " (cre_a(0), des_a(3), cre_b(2)): 0+0.5j,\n", - " (cre_a(0), des_a(3), des_a(3), des_b(3)): -0.125\n", + " (cre_a(0), des_a(3), des_a(3), des_b(3)): -0.125,\n", + " (cre_a(3), des_a(0), cre_b(2)): 0-0.25j\n", "})" ] }, @@ -170,10 +170,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:21:32.425182Z", - "iopub.status.busy": "2024-10-10T17:21:32.424997Z", - "iopub.status.idle": "2024-10-10T17:21:32.428839Z", - "shell.execute_reply": "2024-10-10T17:21:32.428366Z" + "iopub.execute_input": "2024-10-30T17:27:26.861444Z", + "iopub.status.busy": "2024-10-30T17:27:26.860952Z", + "iopub.status.idle": "2024-10-30T17:27:26.864613Z", + "shell.execute_reply": "2024-10-30T17:27:26.864162Z" } }, "outputs": [ @@ -181,17 +181,17 @@ "data": { "text/plain": [ "FermionOperator({\n", + " (cre_a(3), des_a(0)): 0+3j,\n", " (cre_b(2)): -5,\n", - " (cre_a(3), des_a(0), cre_b(2)): -1,\n", - " (cre_a(3), des_a(0), des_a(3), des_b(3)): 0-0.25j,\n", " (des_a(3), des_b(3)): 0-1.25j,\n", + " (cre_a(0), des_a(3), cre_b(2)): 2,\n", + " (cre_b(1), des_b(5), cre_a(4), cre_b(2)): 4+4j,\n", " (cre_a(0), des_a(3)): 0-6j,\n", " (cre_b(1), des_b(5), cre_a(4)): 12-12j,\n", - " (cre_b(1), des_b(5), cre_a(4), cre_b(2)): 4+4j,\n", - " (cre_a(3), des_a(0)): 0+3j,\n", + " (cre_a(3), des_a(0), des_a(3), des_b(3)): 0-0.25j,\n", " (cre_b(1), des_b(5), cre_a(4), des_a(3), des_b(3)): -1+1j,\n", - " (cre_a(0), des_a(3), cre_b(2)): 2,\n", - " (cre_a(0), des_a(3), des_a(3), des_b(3)): 0+0.5j\n", + " (cre_a(0), des_a(3), des_a(3), des_b(3)): 0+0.5j,\n", + " (cre_a(3), des_a(0), cre_b(2)): -1\n", "})" ] }, @@ -220,10 +220,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:21:32.430545Z", - "iopub.status.busy": "2024-10-10T17:21:32.430362Z", - "iopub.status.idle": "2024-10-10T17:21:32.434150Z", - "shell.execute_reply": "2024-10-10T17:21:32.433667Z" + "iopub.execute_input": "2024-10-30T17:27:26.866792Z", + "iopub.status.busy": "2024-10-30T17:27:26.866326Z", + "iopub.status.idle": "2024-10-30T17:27:26.870321Z", + "shell.execute_reply": "2024-10-30T17:27:26.869858Z" } }, "outputs": [ @@ -231,16 +231,16 @@ "data": { "text/plain": [ "FermionOperator({\n", - " (cre_a(3), des_b(3), des_a(3), des_a(0)): 0+0.25j,\n", - " (cre_b(1), cre_a(4), des_b(5), des_b(3), des_a(3)): -1+1j,\n", - " (cre_b(2), cre_a(0), des_a(3)): 2,\n", " (cre_b(2), cre_a(3), des_a(0)): -1,\n", + " (cre_a(3), des_b(3), des_a(3), des_a(0)): 0+0.25j,\n", " (cre_b(2)): -5,\n", - " (des_b(3), des_a(3)): 0+1.25j,\n", " (cre_b(2), cre_b(1), cre_a(4), des_b(5)): 4+4j,\n", - " (cre_a(3), des_a(0)): 0+3j,\n", + " (cre_b(1), cre_a(4), des_b(5), des_b(3), des_a(3)): -1+1j,\n", + " (cre_b(2), cre_a(0), des_a(3)): 2,\n", " (cre_b(1), cre_a(4), des_b(5)): -12+12j,\n", - " (cre_a(0), des_a(3)): 0-6j\n", + " (des_b(3), des_a(3)): 0+1.25j,\n", + " (cre_a(0), des_a(3)): 0-6j,\n", + " (cre_a(3), des_a(0)): 0+3j\n", "})" ] }, @@ -265,10 +265,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:21:32.436030Z", - "iopub.status.busy": "2024-10-10T17:21:32.435844Z", - "iopub.status.idle": "2024-10-10T17:21:32.438868Z", - "shell.execute_reply": "2024-10-10T17:21:32.438410Z" + "iopub.execute_input": "2024-10-30T17:27:26.872053Z", + "iopub.status.busy": "2024-10-30T17:27:26.871866Z", + "iopub.status.idle": "2024-10-30T17:27:26.875188Z", + "shell.execute_reply": "2024-10-30T17:27:26.874630Z" } }, "outputs": [ @@ -298,10 +298,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:21:32.440768Z", - "iopub.status.busy": "2024-10-10T17:21:32.440413Z", - "iopub.status.idle": "2024-10-10T17:21:32.444300Z", - "shell.execute_reply": "2024-10-10T17:21:32.443803Z" + "iopub.execute_input": "2024-10-30T17:27:26.877127Z", + "iopub.status.busy": "2024-10-30T17:27:26.876916Z", + "iopub.status.idle": "2024-10-30T17:27:26.880703Z", + "shell.execute_reply": "2024-10-30T17:27:26.880242Z" } }, "outputs": [ @@ -341,21 +341,21 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:21:32.446100Z", - "iopub.status.busy": "2024-10-10T17:21:32.445912Z", - "iopub.status.idle": "2024-10-10T17:21:32.451783Z", - "shell.execute_reply": "2024-10-10T17:21:32.451208Z" + "iopub.execute_input": "2024-10-30T17:27:26.882731Z", + "iopub.status.busy": "2024-10-30T17:27:26.882374Z", + "iopub.status.idle": "2024-10-30T17:27:26.888475Z", + "shell.execute_reply": "2024-10-30T17:27:26.887882Z" } }, "outputs": [ { "data": { "text/plain": [ - "array([ 0. +0.j , 0. +0.j ,\n", - " 0. +0.j , 0. +0.j ,\n", - " -0.06944034+0.086307j, 0. +0.j ,\n", - " 0. +0.j , 0. +0.j ,\n", - " 0. +0.j ])" + "array([ 0. +0.j , 0. +0.j ,\n", + " 0. +0.j , 0. +0.j ,\n", + " -0.15212504+0.07716715j, 0. +0.j ,\n", + " 0. +0.j , 0. +0.j ,\n", + " 0. +0.j ])" ] }, "execution_count": 8, @@ -380,10 +380,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:21:32.453763Z", - "iopub.status.busy": "2024-10-10T17:21:32.453548Z", - "iopub.status.idle": "2024-10-10T17:21:32.464893Z", - "shell.execute_reply": "2024-10-10T17:21:32.464411Z" + "iopub.execute_input": "2024-10-30T17:27:26.890274Z", + "iopub.status.busy": "2024-10-30T17:27:26.890084Z", + "iopub.status.idle": "2024-10-30T17:27:26.900982Z", + "shell.execute_reply": "2024-10-30T17:27:26.900414Z" } }, "outputs": [ diff --git a/.doctrees/nbsphinx/how-to-guides/lucj.ipynb b/.doctrees/nbsphinx/how-to-guides/lucj.ipynb index 7e6b1619f..03399ab16 100644 --- a/.doctrees/nbsphinx/how-to-guides/lucj.ipynb +++ b/.doctrees/nbsphinx/how-to-guides/lucj.ipynb @@ -16,10 +16,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:21:34.169724Z", - "iopub.status.busy": "2024-10-10T17:21:34.169540Z", - "iopub.status.idle": "2024-10-10T17:21:35.154219Z", - "shell.execute_reply": "2024-10-10T17:21:35.153561Z" + "iopub.execute_input": "2024-10-30T17:27:28.828546Z", + "iopub.status.busy": "2024-10-30T17:27:28.828095Z", + "iopub.status.idle": "2024-10-30T17:27:29.851176Z", + "shell.execute_reply": "2024-10-30T17:27:29.850524Z" } }, "outputs": [ @@ -34,7 +34,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Parsing /tmp/tmpk6ithy5m\n", + "Parsing /tmp/tmptvm74xlu\n", "converged SCF energy = -77.8266321248744\n" ] }, @@ -42,7 +42,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "CASCI E = -77.8742165643862 E(CI) = -4.02122442107772 S^2 = 0.0000000\n" + "CASCI E = -77.8742165643862 E(CI) = -4.02122442107773 S^2 = 0.0000000\n" ] }, { @@ -57,7 +57,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Overwritten attributes get_hcore get_ovlp of \n", + "Overwritten attributes get_ovlp get_hcore of \n", "/home/runner/work/ffsim/ffsim/.tox/docs/lib/python3.12/site-packages/pyscf/gto/mole.py:1294: UserWarning: Function mol.dumps drops attribute energy_nuc because it is not JSON-serializable\n", " warnings.warn(msg)\n", "/home/runner/work/ffsim/ffsim/.tox/docs/lib/python3.12/site-packages/pyscf/gto/mole.py:1294: UserWarning: Function mol.dumps drops attribute intor_symmetric because it is not JSON-serializable\n", @@ -123,10 +123,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:21:35.157196Z", - "iopub.status.busy": "2024-10-10T17:21:35.156542Z", - "iopub.status.idle": "2024-10-10T17:21:35.228394Z", - "shell.execute_reply": "2024-10-10T17:21:35.227836Z" + "iopub.execute_input": "2024-10-30T17:27:29.854348Z", + "iopub.status.busy": "2024-10-30T17:27:29.853810Z", + "iopub.status.idle": "2024-10-30T17:27:29.931938Z", + "shell.execute_reply": "2024-10-30T17:27:29.931310Z" } }, "outputs": [ @@ -134,14 +134,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "E(CCSD) = -77.87421536374029 E_corr = -0.04758323886585568\n" + "E(CCSD) = -77.87421536374029 E_corr = -0.04758323886584753\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Energy at initialization: -77.87160024816285\n" + "Energy at initialization: -77.87160024816274\n" ] }, { @@ -189,10 +189,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:21:35.230943Z", - "iopub.status.busy": "2024-10-10T17:21:35.230721Z", - "iopub.status.idle": "2024-10-10T17:23:20.436643Z", - "shell.execute_reply": "2024-10-10T17:23:20.436053Z" + "iopub.execute_input": "2024-10-30T17:27:29.934971Z", + "iopub.status.busy": "2024-10-30T17:27:29.934555Z", + "iopub.status.idle": "2024-10-30T17:29:15.163148Z", + "shell.execute_reply": "2024-10-30T17:29:15.162577Z" } }, "outputs": [ @@ -204,10 +204,10 @@ " message: STOP: TOTAL NO. of ITERATIONS REACHED LIMIT\n", " success: False\n", " status: 1\n", - " fun: -77.87387394279139\n", - " x: [-1.153e+00 -5.246e-04 ... 2.524e-04 1.287e-01]\n", + " fun: -77.87387391422578\n", + " x: [-1.152e+00 -4.460e-04 ... 1.090e-04 1.286e-01]\n", " nit: 10\n", - " jac: [ 2.558e-05 3.126e-05 ... 1.990e-05 1.563e-05]\n", + " jac: [ 1.421e-05 -7.105e-06 ... 4.263e-06 1.705e-05]\n", " nfev: 949\n", " njev: 13\n", " hess_inv: <72x72 LbfgsInvHessProduct with dtype=float64>\n" @@ -251,10 +251,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:23:20.439256Z", - "iopub.status.busy": "2024-10-10T17:23:20.438868Z", - "iopub.status.idle": "2024-10-10T17:23:55.278873Z", - "shell.execute_reply": "2024-10-10T17:23:55.278241Z" + "iopub.execute_input": "2024-10-30T17:29:15.166044Z", + "iopub.status.busy": "2024-10-30T17:29:15.165703Z", + "iopub.status.idle": "2024-10-30T17:29:51.503695Z", + "shell.execute_reply": "2024-10-30T17:29:51.503127Z" } }, "outputs": [ @@ -266,10 +266,10 @@ " message: CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH\n", " success: True\n", " status: 0\n", - " fun: -77.87363426711082\n", - " x: [-1.152e+00 -5.221e-05 ... 3.520e-02 2.561e-01]\n", + " fun: -77.87363426535352\n", + " x: [-1.152e+00 -3.913e-05 ... 3.519e-02 2.561e-01]\n", " nit: 5\n", - " jac: [ 4.405e-05 1.990e-05 ... 1.421e-06 -4.263e-06]\n", + " jac: [-2.700e-05 0.000e+00 ... 0.000e+00 -4.263e-06]\n", " nfev: 329\n", " njev: 7\n", " hess_inv: <46x46 LbfgsInvHessProduct with dtype=float64>\n" @@ -314,10 +314,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:23:55.281548Z", - "iopub.status.busy": "2024-10-10T17:23:55.281323Z", - "iopub.status.idle": "2024-10-10T17:24:17.538470Z", - "shell.execute_reply": "2024-10-10T17:24:17.537902Z" + "iopub.execute_input": "2024-10-30T17:29:51.507188Z", + "iopub.status.busy": "2024-10-30T17:29:51.506397Z", + "iopub.status.idle": "2024-10-30T17:30:14.767738Z", + "shell.execute_reply": "2024-10-30T17:30:14.767155Z" } }, "outputs": [ @@ -328,29 +328,29 @@ "Number of parameters: 46\n", " message: Convergence: Relative reduction of objective function <= ftol.\n", " success: True\n", - " fun: -77.87363431320702\n", - " x: [-1.152e+00 3.624e-04 ... 3.488e-02 2.558e-01]\n", + " fun: -77.87363433826606\n", + " x: [-1.151e+00 -4.937e-04 ... 3.455e-02 2.562e-01]\n", " nit: 3\n", - " jac: [ 1.529e-06 3.657e-06 ... -1.537e-07 -6.623e-07]\n", - " nfev: 559\n", + " jac: [ 5.087e-07 2.242e-08 ... -5.690e-08 1.230e-07]\n", + " nfev: 568\n", " njev: 4\n", - " nlinop: 375\n", + " nlinop: 384\n", "\n", "Iteration 1\n", - " Energy: -77.87363199406526\n", - " Norm of gradient: 0.0010966013623508449\n", - " Regularization hyperparameter: 0.0019345284203860285\n", - " Variation hyperparameter: 0.9994348455232611\n", + " Energy: -77.87363069599299\n", + " Norm of gradient: 0.0012186049723606237\n", + " Regularization hyperparameter: 0.0010963985209662588\n", + " Variation hyperparameter: 0.9936417698594683\n", "Iteration 2\n", - " Energy: -77.87363429661693\n", - " Norm of gradient: 5.813579097194513e-05\n", - " Regularization hyperparameter: 0.0019345282363449037\n", - " Variation hyperparameter: 0.9994348455194204\n", + " Energy: -77.8736342817356\n", + " Norm of gradient: 7.743704662632361e-05\n", + " Regularization hyperparameter: 0.0043114907894774524\n", + " Variation hyperparameter: 0.9923307413892999\n", "Iteration 3\n", - " Energy: -77.87363431320702\n", - " Norm of gradient: 1.3773990245482654e-05\n", - " Regularization hyperparameter: 0.013134424201630223\n", - " Variation hyperparameter: 0.9994145851204197\n" + " Energy: -77.87363433826606\n", + " Norm of gradient: 1.1816193567350311e-05\n", + " Regularization hyperparameter: 0.003169753739017794\n", + " Variation hyperparameter: 0.9923426063078371\n" ] } ], diff --git a/.doctrees/nbsphinx/how-to-guides/qiskit-circuits.ipynb b/.doctrees/nbsphinx/how-to-guides/qiskit-circuits.ipynb index 25a3f7e46..af5800ae3 100644 --- a/.doctrees/nbsphinx/how-to-guides/qiskit-circuits.ipynb +++ b/.doctrees/nbsphinx/how-to-guides/qiskit-circuits.ipynb @@ -16,10 +16,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:24:19.152011Z", - "iopub.status.busy": "2024-10-10T17:24:19.151803Z", - "iopub.status.idle": "2024-10-10T17:24:19.856823Z", - "shell.execute_reply": "2024-10-10T17:24:19.856281Z" + "iopub.execute_input": "2024-10-30T17:30:16.531601Z", + "iopub.status.busy": "2024-10-30T17:30:16.531142Z", + "iopub.status.idle": "2024-10-30T17:30:17.239849Z", + "shell.execute_reply": "2024-10-30T17:30:17.239311Z" } }, "outputs": [], @@ -54,10 +54,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:24:19.859167Z", - "iopub.status.busy": "2024-10-10T17:24:19.858867Z", - "iopub.status.idle": "2024-10-10T17:24:20.437039Z", - "shell.execute_reply": "2024-10-10T17:24:20.436447Z" + "iopub.execute_input": "2024-10-30T17:30:17.242358Z", + "iopub.status.busy": "2024-10-30T17:30:17.241853Z", + "iopub.status.idle": "2024-10-30T17:30:17.823455Z", + "shell.execute_reply": "2024-10-30T17:30:17.822798Z" } }, "outputs": [ @@ -103,10 +103,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:24:20.439573Z", - "iopub.status.busy": "2024-10-10T17:24:20.438877Z", - "iopub.status.idle": "2024-10-10T17:24:20.498274Z", - "shell.execute_reply": "2024-10-10T17:24:20.497674Z" + "iopub.execute_input": "2024-10-30T17:30:17.825867Z", + "iopub.status.busy": "2024-10-30T17:30:17.825368Z", + "iopub.status.idle": "2024-10-30T17:30:17.886715Z", + "shell.execute_reply": "2024-10-30T17:30:17.886157Z" } }, "outputs": [ @@ -160,17 +160,17 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:24:20.500276Z", - "iopub.status.busy": "2024-10-10T17:24:20.499917Z", - "iopub.status.idle": "2024-10-10T17:24:20.504080Z", - "shell.execute_reply": "2024-10-10T17:24:20.503453Z" + "iopub.execute_input": "2024-10-30T17:30:17.888807Z", + "iopub.status.busy": "2024-10-30T17:30:17.888583Z", + "iopub.status.idle": "2024-10-30T17:30:17.893057Z", + "shell.execute_reply": "2024-10-30T17:30:17.892426Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 4, @@ -195,17 +195,17 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:24:20.506162Z", - "iopub.status.busy": "2024-10-10T17:24:20.505797Z", - "iopub.status.idle": "2024-10-10T17:24:20.510487Z", - "shell.execute_reply": "2024-10-10T17:24:20.510017Z" + "iopub.execute_input": "2024-10-30T17:30:17.895198Z", + "iopub.status.busy": "2024-10-30T17:30:17.894693Z", + "iopub.status.idle": "2024-10-30T17:30:17.899975Z", + "shell.execute_reply": "2024-10-30T17:30:17.899488Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 5, @@ -242,17 +242,17 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:24:20.512512Z", - "iopub.status.busy": "2024-10-10T17:24:20.512033Z", - "iopub.status.idle": "2024-10-10T17:24:20.516570Z", - "shell.execute_reply": "2024-10-10T17:24:20.515979Z" + "iopub.execute_input": "2024-10-30T17:30:17.902445Z", + "iopub.status.busy": "2024-10-30T17:30:17.901929Z", + "iopub.status.idle": "2024-10-30T17:30:17.906990Z", + "shell.execute_reply": "2024-10-30T17:30:17.906379Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 6, @@ -279,17 +279,17 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:24:20.518584Z", - "iopub.status.busy": "2024-10-10T17:24:20.518392Z", - "iopub.status.idle": "2024-10-10T17:24:20.522744Z", - "shell.execute_reply": "2024-10-10T17:24:20.522132Z" + "iopub.execute_input": "2024-10-30T17:30:17.909022Z", + "iopub.status.busy": "2024-10-30T17:30:17.908646Z", + "iopub.status.idle": "2024-10-30T17:30:17.913457Z", + "shell.execute_reply": "2024-10-30T17:30:17.912840Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 7, @@ -315,17 +315,17 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:24:20.524666Z", - "iopub.status.busy": "2024-10-10T17:24:20.524461Z", - "iopub.status.idle": "2024-10-10T17:24:20.528840Z", - "shell.execute_reply": "2024-10-10T17:24:20.528251Z" + "iopub.execute_input": "2024-10-30T17:30:17.915552Z", + "iopub.status.busy": "2024-10-30T17:30:17.915193Z", + "iopub.status.idle": "2024-10-30T17:30:17.920001Z", + "shell.execute_reply": "2024-10-30T17:30:17.919516Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 8, @@ -354,17 +354,17 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:24:20.545298Z", - "iopub.status.busy": "2024-10-10T17:24:20.544691Z", - "iopub.status.idle": "2024-10-10T17:24:20.549873Z", - "shell.execute_reply": "2024-10-10T17:24:20.549273Z" + "iopub.execute_input": "2024-10-30T17:30:17.922125Z", + "iopub.status.busy": "2024-10-30T17:30:17.921746Z", + "iopub.status.idle": "2024-10-30T17:30:17.927139Z", + "shell.execute_reply": "2024-10-30T17:30:17.926531Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 9, @@ -391,17 +391,17 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:24:20.552139Z", - "iopub.status.busy": "2024-10-10T17:24:20.551619Z", - "iopub.status.idle": "2024-10-10T17:24:20.557049Z", - "shell.execute_reply": "2024-10-10T17:24:20.556583Z" + "iopub.execute_input": "2024-10-30T17:30:17.929554Z", + "iopub.status.busy": "2024-10-30T17:30:17.929078Z", + "iopub.status.idle": "2024-10-30T17:30:17.934909Z", + "shell.execute_reply": "2024-10-30T17:30:17.934307Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 10, @@ -428,17 +428,17 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:24:20.558936Z", - "iopub.status.busy": "2024-10-10T17:24:20.558597Z", - "iopub.status.idle": "2024-10-10T17:24:20.564330Z", - "shell.execute_reply": "2024-10-10T17:24:20.563849Z" + "iopub.execute_input": "2024-10-30T17:30:17.936884Z", + "iopub.status.busy": "2024-10-30T17:30:17.936689Z", + "iopub.status.idle": "2024-10-30T17:30:17.942864Z", + "shell.execute_reply": "2024-10-30T17:30:17.942371Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 11, diff --git a/.doctrees/nbsphinx/how-to-guides/qiskit-sampler.ipynb b/.doctrees/nbsphinx/how-to-guides/qiskit-sampler.ipynb index 032b2b5f9..27224ed5e 100644 --- a/.doctrees/nbsphinx/how-to-guides/qiskit-sampler.ipynb +++ b/.doctrees/nbsphinx/how-to-guides/qiskit-sampler.ipynb @@ -18,10 +18,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:24:22.630450Z", - "iopub.status.busy": "2024-10-10T17:24:22.630004Z", - "iopub.status.idle": "2024-10-10T17:24:23.324194Z", - "shell.execute_reply": "2024-10-10T17:24:23.323531Z" + "iopub.execute_input": "2024-10-30T17:30:19.829756Z", + "iopub.status.busy": "2024-10-30T17:30:19.829293Z", + "iopub.status.idle": "2024-10-30T17:30:20.552031Z", + "shell.execute_reply": "2024-10-30T17:30:20.551488Z" } }, "outputs": [], @@ -71,10 +71,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:24:23.326723Z", - "iopub.status.busy": "2024-10-10T17:24:23.326254Z", - "iopub.status.idle": "2024-10-10T17:24:23.390846Z", - "shell.execute_reply": "2024-10-10T17:24:23.390322Z" + "iopub.execute_input": "2024-10-30T17:30:20.554582Z", + "iopub.status.busy": "2024-10-30T17:30:20.554114Z", + "iopub.status.idle": "2024-10-30T17:30:20.618334Z", + "shell.execute_reply": "2024-10-30T17:30:20.617682Z" } }, "outputs": [ @@ -154,10 +154,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:24:23.393053Z", - "iopub.status.busy": "2024-10-10T17:24:23.392687Z", - "iopub.status.idle": "2024-10-10T17:24:23.713939Z", - "shell.execute_reply": "2024-10-10T17:24:23.713375Z" + "iopub.execute_input": "2024-10-30T17:30:20.620461Z", + "iopub.status.busy": "2024-10-30T17:30:20.620247Z", + "iopub.status.idle": "2024-10-30T17:30:20.911145Z", + "shell.execute_reply": "2024-10-30T17:30:20.910562Z" } }, "outputs": [ @@ -165,7 +165,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "converged SCF energy = -108.835236570774\n" + "converged SCF energy = -108.835236570775\n" ] }, { @@ -174,7 +174,7 @@ "text": [ "norb = 14\n", "nelec = (3, 3)\n", - "E(CCSD) = -108.9630419334854 E_corr = -0.1278053627110059\n" + "E(CCSD) = -108.9630419334855 E_corr = -0.1278053627110058\n" ] }, { @@ -188,13 +188,13 @@ "data": { "text/plain": [ "{'0000000000011100000000000111': 9924,\n", - " '0000000000110100000000001101': 15,\n", + " '0000000000110100000000001101': 16,\n", " '0000000001110000000000000111': 10,\n", " '0000000000011100000000011100': 10,\n", - " '0000000001011000000000010110': 9,\n", + " '0000000001011000000000010110': 10,\n", " '0001000001010000000000000111': 5,\n", " '0000000001011000100000000110': 4,\n", - " '0100000000100100000000000111': 3,\n", + " '0100000001001000000000000111': 3,\n", " '0000000000011100100000001100': 3,\n", " '0010000000011000000000010110': 3}" ] @@ -276,10 +276,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:24:23.716230Z", - "iopub.status.busy": "2024-10-10T17:24:23.715814Z", - "iopub.status.idle": "2024-10-10T17:24:24.273119Z", - "shell.execute_reply": "2024-10-10T17:24:24.272595Z" + "iopub.execute_input": "2024-10-30T17:30:20.913309Z", + "iopub.status.busy": "2024-10-30T17:30:20.912896Z", + "iopub.status.idle": "2024-10-30T17:30:21.460858Z", + "shell.execute_reply": "2024-10-30T17:30:21.460340Z" } }, "outputs": [ @@ -294,7 +294,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "SCF energy = -75.3484557064305\n" + "SCF energy = -75.3484557089003\n" ] }, { @@ -312,14 +312,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "E(UCCSD) = -75.45619739137106 E_corr = -0.1077416849405244" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" + "E(UCCSD) = -75.45619739093132 E_corr = -0.1077416820310391\n" ] }, { diff --git a/.doctrees/nbsphinx/tutorials/double-factorized-trotter.ipynb b/.doctrees/nbsphinx/tutorials/double-factorized-trotter.ipynb index 3157e55b6..0431fbd64 100644 --- a/.doctrees/nbsphinx/tutorials/double-factorized-trotter.ipynb +++ b/.doctrees/nbsphinx/tutorials/double-factorized-trotter.ipynb @@ -18,10 +18,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:24:25.819360Z", - "iopub.status.busy": "2024-10-10T17:24:25.819176Z", - "iopub.status.idle": "2024-10-10T17:24:26.585120Z", - "shell.execute_reply": "2024-10-10T17:24:26.584507Z" + "iopub.execute_input": "2024-10-30T17:30:23.018043Z", + "iopub.status.busy": "2024-10-30T17:30:23.017857Z", + "iopub.status.idle": "2024-10-30T17:30:23.778746Z", + "shell.execute_reply": "2024-10-30T17:30:23.778140Z" } }, "outputs": [ @@ -80,10 +80,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:24:26.588832Z", - "iopub.status.busy": "2024-10-10T17:24:26.587914Z", - "iopub.status.idle": "2024-10-10T17:24:26.592807Z", - "shell.execute_reply": "2024-10-10T17:24:26.592350Z" + "iopub.execute_input": "2024-10-30T17:30:23.781995Z", + "iopub.status.busy": "2024-10-30T17:30:23.780904Z", + "iopub.status.idle": "2024-10-30T17:30:23.786271Z", + "shell.execute_reply": "2024-10-30T17:30:23.785682Z" } }, "outputs": [], @@ -106,10 +106,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:24:26.594777Z", - "iopub.status.busy": "2024-10-10T17:24:26.594345Z", - "iopub.status.idle": "2024-10-10T17:24:26.598784Z", - "shell.execute_reply": "2024-10-10T17:24:26.598320Z" + "iopub.execute_input": "2024-10-30T17:30:23.788118Z", + "iopub.status.busy": "2024-10-30T17:30:23.787937Z", + "iopub.status.idle": "2024-10-30T17:30:23.793017Z", + "shell.execute_reply": "2024-10-30T17:30:23.792498Z" } }, "outputs": [ @@ -172,10 +172,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:24:26.600615Z", - "iopub.status.busy": "2024-10-10T17:24:26.600427Z", - "iopub.status.idle": "2024-10-10T17:24:26.604611Z", - "shell.execute_reply": "2024-10-10T17:24:26.604034Z" + "iopub.execute_input": "2024-10-30T17:30:23.795040Z", + "iopub.status.busy": "2024-10-30T17:30:23.794689Z", + "iopub.status.idle": "2024-10-30T17:30:23.798781Z", + "shell.execute_reply": "2024-10-30T17:30:23.798275Z" } }, "outputs": [ @@ -208,10 +208,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:24:26.606370Z", - "iopub.status.busy": "2024-10-10T17:24:26.606189Z", - "iopub.status.idle": "2024-10-10T17:24:26.610295Z", - "shell.execute_reply": "2024-10-10T17:24:26.609699Z" + "iopub.execute_input": "2024-10-30T17:30:23.800762Z", + "iopub.status.busy": "2024-10-30T17:30:23.800418Z", + "iopub.status.idle": "2024-10-30T17:30:23.804298Z", + "shell.execute_reply": "2024-10-30T17:30:23.803811Z" } }, "outputs": [ @@ -242,10 +242,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:24:26.612036Z", - "iopub.status.busy": "2024-10-10T17:24:26.611849Z", - "iopub.status.idle": "2024-10-10T17:24:26.629634Z", - "shell.execute_reply": "2024-10-10T17:24:26.629149Z" + "iopub.execute_input": "2024-10-30T17:30:23.806478Z", + "iopub.status.busy": "2024-10-30T17:30:23.806034Z", + "iopub.status.idle": "2024-10-30T17:30:23.824284Z", + "shell.execute_reply": "2024-10-30T17:30:23.823769Z" } }, "outputs": [ @@ -302,10 +302,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:24:26.631638Z", - "iopub.status.busy": "2024-10-10T17:24:26.631299Z", - "iopub.status.idle": "2024-10-10T17:24:26.635499Z", - "shell.execute_reply": "2024-10-10T17:24:26.635027Z" + "iopub.execute_input": "2024-10-30T17:30:23.826390Z", + "iopub.status.busy": "2024-10-30T17:30:23.826017Z", + "iopub.status.idle": "2024-10-30T17:30:23.830305Z", + "shell.execute_reply": "2024-10-30T17:30:23.829725Z" } }, "outputs": [], @@ -360,10 +360,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:24:26.637366Z", - "iopub.status.busy": "2024-10-10T17:24:26.637034Z", - "iopub.status.idle": "2024-10-10T17:24:26.640676Z", - "shell.execute_reply": "2024-10-10T17:24:26.640060Z" + "iopub.execute_input": "2024-10-30T17:30:23.832361Z", + "iopub.status.busy": "2024-10-30T17:30:23.831852Z", + "iopub.status.idle": "2024-10-30T17:30:23.835452Z", + "shell.execute_reply": "2024-10-30T17:30:23.834971Z" } }, "outputs": [], @@ -400,10 +400,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:24:26.642683Z", - "iopub.status.busy": "2024-10-10T17:24:26.642329Z", - "iopub.status.idle": "2024-10-10T17:24:26.740698Z", - "shell.execute_reply": "2024-10-10T17:24:26.740126Z" + "iopub.execute_input": "2024-10-30T17:30:23.837415Z", + "iopub.status.busy": "2024-10-30T17:30:23.837079Z", + "iopub.status.idle": "2024-10-30T17:30:23.937835Z", + "shell.execute_reply": "2024-10-30T17:30:23.937203Z" } }, "outputs": [], @@ -439,10 +439,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:24:26.743990Z", - "iopub.status.busy": "2024-10-10T17:24:26.743034Z", - "iopub.status.idle": "2024-10-10T17:24:26.792806Z", - "shell.execute_reply": "2024-10-10T17:24:26.792352Z" + "iopub.execute_input": "2024-10-30T17:30:23.940685Z", + "iopub.status.busy": "2024-10-30T17:30:23.940042Z", + "iopub.status.idle": "2024-10-30T17:30:23.989610Z", + "shell.execute_reply": "2024-10-30T17:30:23.989110Z" } }, "outputs": [ @@ -450,7 +450,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Fidelity of Trotter-evolved state with exact state: 0.9402435386975859\n" + "Fidelity of Trotter-evolved state with exact state: 0.9402435115724028\n" ] } ], @@ -480,10 +480,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:24:26.794865Z", - "iopub.status.busy": "2024-10-10T17:24:26.794471Z", - "iopub.status.idle": "2024-10-10T17:24:27.007158Z", - "shell.execute_reply": "2024-10-10T17:24:27.006639Z" + "iopub.execute_input": "2024-10-30T17:30:23.991607Z", + "iopub.status.busy": "2024-10-30T17:30:23.991166Z", + "iopub.status.idle": "2024-10-30T17:30:24.203147Z", + "shell.execute_reply": "2024-10-30T17:30:24.202617Z" } }, "outputs": [ @@ -491,7 +491,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Fidelity of Trotter-evolved state with exact state: 0.9985212861519277\n" + "Fidelity of Trotter-evolved state with exact state: 0.9985212854220817\n" ] } ], @@ -521,10 +521,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:24:27.009271Z", - "iopub.status.busy": "2024-10-10T17:24:27.008891Z", - "iopub.status.idle": "2024-10-10T17:24:27.134836Z", - "shell.execute_reply": "2024-10-10T17:24:27.134380Z" + "iopub.execute_input": "2024-10-30T17:30:24.205298Z", + "iopub.status.busy": "2024-10-30T17:30:24.204871Z", + "iopub.status.idle": "2024-10-30T17:30:24.332984Z", + "shell.execute_reply": "2024-10-30T17:30:24.332329Z" } }, "outputs": [ @@ -532,7 +532,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Fidelity of Trotter-evolved state with exact state: 0.998521286151879\n" + "Fidelity of Trotter-evolved state with exact state: 0.9985212854218731\n" ] } ], @@ -563,10 +563,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-10-10T17:24:27.136698Z", - "iopub.status.busy": "2024-10-10T17:24:27.136505Z", - "iopub.status.idle": "2024-10-10T17:24:27.239845Z", - "shell.execute_reply": "2024-10-10T17:24:27.239329Z" + "iopub.execute_input": "2024-10-30T17:30:24.335293Z", + "iopub.status.busy": "2024-10-30T17:30:24.334888Z", + "iopub.status.idle": "2024-10-30T17:30:24.438840Z", + "shell.execute_reply": "2024-10-30T17:30:24.438282Z" } }, "outputs": [ @@ -574,7 +574,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Fidelity of Trotter-evolved state with exact state: 0.9996731164191628" + "Fidelity of Trotter-evolved state with exact state: 0.9996731164188345" ] }, { diff --git a/.doctrees/tutorials/double-factorized-trotter.doctree b/.doctrees/tutorials/double-factorized-trotter.doctree index b67970db9faf4ab572815ffbb811b4bb35a2ef48..7a1c38204ba42d18d2ccd125731e3e623b5f4702 100644 GIT binary patch delta 430 zcmX@Kih0>eX4VGQsk5(aWHnsEX=rF_Ze(I$WHH%sz3*g$C2U9{vzI(U;(e49o4jB{ zHkz7`lJb+ym(4~}cXy)$s+!GO%lSFjO-+o93@i*MJFE|dv*)aT#sL*KpA0d-2w6aW 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-
ffsim 0.0.47
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ffsim 0.0.48
@@ -182,7 +182,7 @@
- ffsim 0.0.47 + ffsim 0.0.48 @@ -353,7 +353,7 @@

Source code for ffsim.cistring
-
+
diff --git a/_modules/ffsim/contract/diag_coulomb.html b/_modules/ffsim/contract/diag_coulomb.html index ed388ff77..ccfcc7deb 100644 --- a/_modules/ffsim/contract/diag_coulomb.html +++ b/_modules/ffsim/contract/diag_coulomb.html @@ -4,8 +4,8 @@ - - ffsim.contract.diag_coulomb - ffsim 0.0.47 + + ffsim.contract.diag_coulomb - ffsim 0.0.48 @@ -158,7 +158,7 @@
-
ffsim 0.0.47
 +
ffsim 0.0.48
@@ -182,7 +182,7 @@
- ffsim 0.0.47 + ffsim 0.0.48 @@ -574,7 +574,7 @@

Source code for ffsim.contract.diag_coulomb
-
+
diff --git a/_modules/ffsim/contract/num_op_sum.html b/_modules/ffsim/contract/num_op_sum.html index e24ee49a2..d61e398ef 100644 --- a/_modules/ffsim/contract/num_op_sum.html +++ b/_modules/ffsim/contract/num_op_sum.html @@ -4,8 +4,8 @@ - - ffsim.contract.num_op_sum - ffsim 0.0.47 + + ffsim.contract.num_op_sum - ffsim 0.0.48 @@ -158,7 +158,7 @@
-
ffsim 0.0.47
 +
ffsim 0.0.48
@@ -182,7 +182,7 @@
- ffsim 0.0.47 + ffsim 0.0.48 @@ -433,7 +433,7 @@

Source code for ffsim.contract.num_op_sum
-
+
diff --git a/_modules/ffsim/contract/one_body.html b/_modules/ffsim/contract/one_body.html index 4709528c7..e99e5ab3e 100644 --- a/_modules/ffsim/contract/one_body.html +++ b/_modules/ffsim/contract/one_body.html @@ -4,8 +4,8 @@ - - ffsim.contract.one_body - ffsim 0.0.47 + + ffsim.contract.one_body - ffsim 0.0.48 @@ -158,7 +158,7 @@
-
ffsim 0.0.47
 +
ffsim 0.0.48
@@ -182,7 +182,7 @@
- ffsim 0.0.47 + ffsim 0.0.48 @@ -390,7 +390,7 @@

Source code for ffsim.contract.one_body
-
+
diff --git a/_modules/ffsim/gates/basic_gates.html b/_modules/ffsim/gates/basic_gates.html index f1a7b733c..3c71b1b32 100644 --- a/_modules/ffsim/gates/basic_gates.html +++ b/_modules/ffsim/gates/basic_gates.html @@ -4,8 +4,8 @@ - - ffsim.gates.basic_gates - ffsim 0.0.47 + + ffsim.gates.basic_gates - ffsim 0.0.48 @@ -158,7 +158,7 @@
-
ffsim 0.0.47
 +
ffsim 0.0.48
@@ -182,7 +182,7 @@
- ffsim 0.0.47 + ffsim 0.0.48 @@ -952,7 +952,7 @@

Source code for ffsim.gates.basic_gates
-
+
diff --git a/_modules/ffsim/gates/diag_coulomb.html b/_modules/ffsim/gates/diag_coulomb.html index 0c97c8d44..ef7c12d3a 100644 --- a/_modules/ffsim/gates/diag_coulomb.html +++ b/_modules/ffsim/gates/diag_coulomb.html @@ -4,8 +4,8 @@ - - ffsim.gates.diag_coulomb - ffsim 0.0.47 + + ffsim.gates.diag_coulomb - ffsim 0.0.48 @@ -158,7 +158,7 @@
-
ffsim 0.0.47
 +
ffsim 0.0.48
@@ -182,7 +182,7 @@
- ffsim 0.0.47 + ffsim 0.0.48 @@ -564,7 +564,7 @@

Source code for ffsim.gates.diag_coulomb
-
+
diff --git a/_modules/ffsim/gates/num_op_sum.html b/_modules/ffsim/gates/num_op_sum.html index d9f88934b..7ca2fb43f 100644 --- a/_modules/ffsim/gates/num_op_sum.html +++ b/_modules/ffsim/gates/num_op_sum.html @@ -4,8 +4,8 @@ - - ffsim.gates.num_op_sum - ffsim 0.0.47 + + ffsim.gates.num_op_sum - ffsim 0.0.48 @@ -158,7 +158,7 @@
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ffsim 0.0.47
 +
ffsim 0.0.48
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- ffsim 0.0.47 + ffsim 0.0.48 @@ -534,7 +534,7 @@

Source code for ffsim.gates.num_op_sum
-
+
diff --git a/_modules/ffsim/gates/orbital_rotation.html b/_modules/ffsim/gates/orbital_rotation.html index c2f5e5134..918d8e689 100644 --- a/_modules/ffsim/gates/orbital_rotation.html +++ b/_modules/ffsim/gates/orbital_rotation.html @@ -4,8 +4,8 @@ - - ffsim.gates.orbital_rotation - ffsim 0.0.47 + + ffsim.gates.orbital_rotation - ffsim 0.0.48 @@ -158,7 +158,7 @@
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ffsim 0.0.47
 +
ffsim 0.0.48
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- ffsim 0.0.47 + ffsim 0.0.48 @@ -535,7 +535,7 @@

Source code for ffsim.gates.orbital_rotation
-
+
diff --git a/_modules/ffsim/hamiltonians/diagonal_coulomb_hamiltonian.html b/_modules/ffsim/hamiltonians/diagonal_coulomb_hamiltonian.html index 8976d84a4..ca6253ac6 100644 --- a/_modules/ffsim/hamiltonians/diagonal_coulomb_hamiltonian.html +++ b/_modules/ffsim/hamiltonians/diagonal_coulomb_hamiltonian.html @@ -4,8 +4,8 @@ - - ffsim.hamiltonians.diagonal_coulomb_hamiltonian - ffsim 0.0.47 + + ffsim.hamiltonians.diagonal_coulomb_hamiltonian - ffsim 0.0.48 @@ -158,7 +158,7 @@
-
ffsim 0.0.47
 +
ffsim 0.0.48
@@ -182,7 +182,7 @@
- ffsim 0.0.47 + ffsim 0.0.48 @@ -498,7 +498,7 @@

Source code for ffsim.hamiltonians.diagonal_coulomb_hamiltonian

-
+
diff --git a/_modules/ffsim/hamiltonians/double_factorized_hamiltonian.html b/_modules/ffsim/hamiltonians/double_factorized_hamiltonian.html index ecb9a8137..5a387fc97 100644 --- a/_modules/ffsim/hamiltonians/double_factorized_hamiltonian.html +++ b/_modules/ffsim/hamiltonians/double_factorized_hamiltonian.html @@ -4,8 +4,8 @@ - - ffsim.hamiltonians.double_factorized_hamiltonian - ffsim 0.0.47 + + ffsim.hamiltonians.double_factorized_hamiltonian - ffsim 0.0.48 @@ -158,7 +158,7 @@
-
ffsim 0.0.47
 +
ffsim 0.0.48
@@ -182,7 +182,7 @@
- ffsim 0.0.47 + ffsim 0.0.48 @@ -611,7 +611,7 @@

Source code for ffsim.hamiltonians.double_factorized_hamiltonian

-
+
diff --git a/_modules/ffsim/hamiltonians/molecular_hamiltonian.html b/_modules/ffsim/hamiltonians/molecular_hamiltonian.html index e34779270..807d38bb2 100644 --- a/_modules/ffsim/hamiltonians/molecular_hamiltonian.html +++ b/_modules/ffsim/hamiltonians/molecular_hamiltonian.html @@ -4,8 +4,8 @@ - - ffsim.hamiltonians.molecular_hamiltonian - ffsim 0.0.47 + + ffsim.hamiltonians.molecular_hamiltonian - ffsim 0.0.48 @@ -158,7 +158,7 @@
-
ffsim 0.0.47
 +
ffsim 0.0.48
@@ -182,7 +182,7 @@
- ffsim 0.0.47 + ffsim 0.0.48 @@ -498,7 +498,7 @@

Source code for ffsim.hamiltonians.molecular_hamiltonian

+
diff --git a/_modules/ffsim/hamiltonians/single_factorized_hamiltonian.html b/_modules/ffsim/hamiltonians/single_factorized_hamiltonian.html index ae0ea4ff1..c0dd4e614 100644 --- a/_modules/ffsim/hamiltonians/single_factorized_hamiltonian.html +++ b/_modules/ffsim/hamiltonians/single_factorized_hamiltonian.html @@ -4,8 +4,8 @@ - - ffsim.hamiltonians.single_factorized_hamiltonian - ffsim 0.0.47 + + ffsim.hamiltonians.single_factorized_hamiltonian - ffsim 0.0.48 @@ -158,7 +158,7 @@
-
ffsim 0.0.47
 +
ffsim 0.0.48
@@ -182,7 +182,7 @@
- ffsim 0.0.47 + ffsim 0.0.48 @@ -577,7 +577,7 @@

Source code for ffsim.hamiltonians.single_factorized_hamiltonian

-
+
diff --git a/_modules/ffsim/linalg/double_factorized_decomposition.html b/_modules/ffsim/linalg/double_factorized_decomposition.html index cc4c8656d..d23fb968e 100644 --- a/_modules/ffsim/linalg/double_factorized_decomposition.html +++ b/_modules/ffsim/linalg/double_factorized_decomposition.html @@ -4,8 +4,8 @@ - - ffsim.linalg.double_factorized_decomposition - ffsim 0.0.47 + + ffsim.linalg.double_factorized_decomposition - ffsim 0.0.48 @@ -158,7 +158,7 @@
-
ffsim 0.0.47
 +
ffsim 0.0.48
@@ -182,7 +182,7 @@
- ffsim 0.0.47 + ffsim 0.0.48 @@ -1002,7 +1002,7 @@

Source code for ffsim.linalg.double_factorized_decomposition

-
+
diff --git a/_modules/ffsim/linalg/givens.html b/_modules/ffsim/linalg/givens.html index 3dc0157fd..5e0b5480f 100644 --- a/_modules/ffsim/linalg/givens.html +++ b/_modules/ffsim/linalg/givens.html @@ -4,8 +4,8 @@ - - ffsim.linalg.givens - ffsim 0.0.47 + + ffsim.linalg.givens - ffsim 0.0.48 @@ -158,7 +158,7 @@
-
ffsim 0.0.47
 +
ffsim 0.0.48
@@ -182,7 +182,7 @@
- ffsim 0.0.47 + ffsim 0.0.48 @@ -524,7 +524,7 @@

Source code for ffsim.linalg.givens
-
+
diff --git a/_modules/ffsim/linalg/linalg.html b/_modules/ffsim/linalg/linalg.html index e89aa0dfe..a916d5aef 100644 --- a/_modules/ffsim/linalg/linalg.html +++ b/_modules/ffsim/linalg/linalg.html @@ -4,8 +4,8 @@ - - ffsim.linalg.linalg - ffsim 0.0.47 + + ffsim.linalg.linalg - ffsim 0.0.48 @@ -158,7 +158,7 @@
-
ffsim 0.0.47
 +
ffsim 0.0.48
@@ -182,7 +182,7 @@
- ffsim 0.0.47 + ffsim 0.0.48 @@ -415,7 +415,7 @@

Source code for ffsim.linalg.linalg
-
+
diff --git a/_modules/ffsim/linalg/predicates.html b/_modules/ffsim/linalg/predicates.html index 70b7f5f52..93c750e43 100644 --- a/_modules/ffsim/linalg/predicates.html +++ b/_modules/ffsim/linalg/predicates.html @@ -4,8 +4,8 @@ - - ffsim.linalg.predicates - ffsim 0.0.47 + + ffsim.linalg.predicates - ffsim 0.0.48 @@ -158,7 +158,7 @@
-
ffsim 0.0.47
 +
ffsim 0.0.48
@@ -182,7 +182,7 @@
- ffsim 0.0.47 + ffsim 0.0.48 @@ -440,7 +440,7 @@

Source code for ffsim.linalg.predicates
-
+
diff --git a/_modules/ffsim/molecular_data.html b/_modules/ffsim/molecular_data.html index 8f670b324..0babf3149 100644 --- a/_modules/ffsim/molecular_data.html +++ b/_modules/ffsim/molecular_data.html @@ -4,8 +4,8 @@ - - ffsim.molecular_data - ffsim 0.0.47 + + ffsim.molecular_data - ffsim 0.0.48 @@ -158,7 +158,7 @@
-
ffsim 0.0.47
 +
ffsim 0.0.48
@@ -182,7 +182,7 @@
- ffsim 0.0.47 + ffsim 0.0.48 @@ -754,7 +754,7 @@

Source code for ffsim.molecular_data
-
+
diff --git a/_modules/ffsim/operators/common_operators.html b/_modules/ffsim/operators/common_operators.html index e99ca0ebc..afed88a36 100644 --- a/_modules/ffsim/operators/common_operators.html +++ b/_modules/ffsim/operators/common_operators.html @@ -4,8 +4,8 @@ - - ffsim.operators.common_operators - ffsim 0.0.47 + + ffsim.operators.common_operators - ffsim 0.0.48 @@ -158,7 +158,7 @@
-
ffsim 0.0.47
 +
ffsim 0.0.48
@@ -182,7 +182,7 @@
- ffsim 0.0.47 + ffsim 0.0.48 @@ -343,7 +343,7 @@

Source code for ffsim.operators.common_operators

-
+
diff --git a/_modules/ffsim/operators/fermi_hubbard.html b/_modules/ffsim/operators/fermi_hubbard.html index 0ae3a2ef8..cb8b78865 100644 --- a/_modules/ffsim/operators/fermi_hubbard.html +++ b/_modules/ffsim/operators/fermi_hubbard.html @@ -4,8 +4,8 @@ - - ffsim.operators.fermi_hubbard - ffsim 0.0.47 + + ffsim.operators.fermi_hubbard - ffsim 0.0.48 @@ -158,7 +158,7 @@
-
ffsim 0.0.47
 +
ffsim 0.0.48
@@ -182,7 +182,7 @@
- ffsim 0.0.47 + ffsim 0.0.48 @@ -516,7 +516,7 @@

Source code for ffsim.operators.fermi_hubbard

-
+
diff --git a/_modules/ffsim/operators/fermion_action.html b/_modules/ffsim/operators/fermion_action.html index 20d8a1b9f..bc78f6bf0 100644 --- a/_modules/ffsim/operators/fermion_action.html +++ b/_modules/ffsim/operators/fermion_action.html @@ -4,8 +4,8 @@ - - ffsim.operators.fermion_action - ffsim 0.0.47 + + ffsim.operators.fermion_action - ffsim 0.0.48 @@ -158,7 +158,7 @@
-
ffsim 0.0.47
 +
ffsim 0.0.48
@@ -182,7 +182,7 @@
- ffsim 0.0.47 + ffsim 0.0.48 @@ -394,7 +394,7 @@

Source code for ffsim.operators.fermion_action

-
+
diff --git a/_modules/ffsim/optimize/linear_method.html b/_modules/ffsim/optimize/linear_method.html index c3af425fa..8a2736f5c 100644 --- a/_modules/ffsim/optimize/linear_method.html +++ b/_modules/ffsim/optimize/linear_method.html @@ -4,8 +4,8 @@ - - ffsim.optimize.linear_method - ffsim 0.0.47 + + ffsim.optimize.linear_method - ffsim 0.0.48 @@ -158,7 +158,7 @@
-
ffsim 0.0.47
 +
ffsim 0.0.48
@@ -182,7 +182,7 @@
- ffsim 0.0.47 + ffsim 0.0.48 @@ -637,7 +637,7 @@

Source code for ffsim.optimize.linear_method
-
+
diff --git a/_modules/ffsim/protocols/apply_unitary_protocol.html b/_modules/ffsim/protocols/apply_unitary_protocol.html index 87302d15e..4eabf736a 100644 --- a/_modules/ffsim/protocols/apply_unitary_protocol.html +++ b/_modules/ffsim/protocols/apply_unitary_protocol.html @@ -4,8 +4,8 @@ - - ffsim.protocols.apply_unitary_protocol - ffsim 0.0.47 + + ffsim.protocols.apply_unitary_protocol - ffsim 0.0.48 @@ -158,7 +158,7 @@
-
ffsim 0.0.47
 +
ffsim 0.0.48
@@ -182,7 +182,7 @@
- ffsim 0.0.47 + ffsim 0.0.48 @@ -390,7 +390,7 @@

Source code for ffsim.protocols.apply_unitary_protocol

+
diff --git a/_modules/ffsim/protocols/approximate_equality_protocol.html b/_modules/ffsim/protocols/approximate_equality_protocol.html index a81ada438..5ad0f8d28 100644 --- a/_modules/ffsim/protocols/approximate_equality_protocol.html +++ b/_modules/ffsim/protocols/approximate_equality_protocol.html @@ -4,8 +4,8 @@ - - ffsim.protocols.approximate_equality_protocol - ffsim 0.0.47 + + ffsim.protocols.approximate_equality_protocol - ffsim 0.0.48 @@ -158,7 +158,7 @@
-
ffsim 0.0.47
 +
ffsim 0.0.48
@@ -182,7 +182,7 @@
- ffsim 0.0.47 + ffsim 0.0.48 @@ -372,7 +372,7 @@

Source code for ffsim.protocols.approximate_equality_protocol

-
+
diff --git a/_modules/ffsim/protocols/diagonal_protocol.html b/_modules/ffsim/protocols/diagonal_protocol.html index 10099238f..5c9b8b21e 100644 --- a/_modules/ffsim/protocols/diagonal_protocol.html +++ b/_modules/ffsim/protocols/diagonal_protocol.html @@ -4,8 +4,8 @@ - - ffsim.protocols.diagonal_protocol - ffsim 0.0.47 + + ffsim.protocols.diagonal_protocol - ffsim 0.0.48 @@ -158,7 +158,7 @@
-
ffsim 0.0.47
 +
ffsim 0.0.48
@@ -182,7 +182,7 @@
- ffsim 0.0.47 + ffsim 0.0.48 @@ -345,7 +345,7 @@

Source code for ffsim.protocols.diagonal_protocol

-
+
diff --git a/_modules/ffsim/protocols/fermion_operator_protocol.html b/_modules/ffsim/protocols/fermion_operator_protocol.html index fe61e41f2..423c899ee 100644 --- a/_modules/ffsim/protocols/fermion_operator_protocol.html +++ b/_modules/ffsim/protocols/fermion_operator_protocol.html @@ -4,8 +4,8 @@ - - ffsim.protocols.fermion_operator_protocol - ffsim 0.0.47 + + ffsim.protocols.fermion_operator_protocol - ffsim 0.0.48 @@ -158,7 +158,7 @@
-
ffsim 0.0.47
 +
ffsim 0.0.48
@@ -182,7 +182,7 @@
- ffsim 0.0.47 + ffsim 0.0.48 @@ -346,7 +346,7 @@

Source code for ffsim.protocols.fermion_operator_protocol

+
diff --git a/_modules/ffsim/protocols/linear_operator_protocol.html b/_modules/ffsim/protocols/linear_operator_protocol.html index 24d2a8567..1f1ad3461 100644 --- a/_modules/ffsim/protocols/linear_operator_protocol.html +++ b/_modules/ffsim/protocols/linear_operator_protocol.html @@ -4,8 +4,8 @@ - - ffsim.protocols.linear_operator_protocol - ffsim 0.0.47 + + ffsim.protocols.linear_operator_protocol - ffsim 0.0.48 @@ -158,7 +158,7 @@
-
ffsim 0.0.47
 +
ffsim 0.0.48
@@ -182,7 +182,7 @@
- ffsim 0.0.47 + ffsim 0.0.48 @@ -445,7 +445,7 @@

Source code for ffsim.protocols.linear_operator_protocol

+
diff --git a/_modules/ffsim/protocols/trace_protocol.html b/_modules/ffsim/protocols/trace_protocol.html index d9a2ab092..138483613 100644 --- a/_modules/ffsim/protocols/trace_protocol.html +++ b/_modules/ffsim/protocols/trace_protocol.html @@ -4,8 +4,8 @@ - - ffsim.protocols.trace_protocol - ffsim 0.0.47 + + ffsim.protocols.trace_protocol - ffsim 0.0.48 @@ -158,7 +158,7 @@
-
ffsim 0.0.47
 +
ffsim 0.0.48
@@ -182,7 +182,7 @@
- ffsim 0.0.47 + ffsim 0.0.48 @@ -349,7 +349,7 @@

Source code for ffsim.protocols.trace_protocol

-
+
diff --git a/_modules/ffsim/qiskit/gates/diag_coulomb.html b/_modules/ffsim/qiskit/gates/diag_coulomb.html index c42ecb163..42afcb2e5 100644 --- a/_modules/ffsim/qiskit/gates/diag_coulomb.html +++ b/_modules/ffsim/qiskit/gates/diag_coulomb.html @@ -4,8 +4,8 @@ - - ffsim.qiskit.gates.diag_coulomb - ffsim 0.0.47 + + ffsim.qiskit.gates.diag_coulomb - ffsim 0.0.48 @@ -158,7 +158,7 @@
-
ffsim 0.0.47
 +
ffsim 0.0.48
@@ -182,7 +182,7 @@
- ffsim 0.0.47 + ffsim 0.0.48 @@ -427,9 +427,7 @@

Source code for ffsim.qiskit.gates.diag_coulomb

< [docs] def inverse(self): """Inverse gate.""" - return DiagCoulombEvolutionSpinlessJW( - self.norb, self.mat, -self.time, z_representation=self.z_representation - )
+ return DiagCoulombEvolutionSpinlessJW(self.norb, self.mat, -self.time)
@@ -558,7 +556,7 @@

Source code for ffsim.qiskit.gates.diag_coulomb

<
-
+
diff --git a/_modules/ffsim/qiskit/gates/diag_coulomb_trotter.html b/_modules/ffsim/qiskit/gates/diag_coulomb_trotter.html index 669b41b3d..fa387145d 100644 --- a/_modules/ffsim/qiskit/gates/diag_coulomb_trotter.html +++ b/_modules/ffsim/qiskit/gates/diag_coulomb_trotter.html @@ -4,8 +4,8 @@ - - ffsim.qiskit.gates.diag_coulomb_trotter - ffsim 0.0.47 + + ffsim.qiskit.gates.diag_coulomb_trotter - ffsim 0.0.48 @@ -158,7 +158,7 @@
-
ffsim 0.0.47
 +
ffsim 0.0.48
@@ -182,7 +182,7 @@
- ffsim 0.0.47 + ffsim 0.0.48 @@ -455,7 +455,7 @@

Source code for ffsim.qiskit.gates.diag_coulomb_trotter

+
diff --git a/_modules/ffsim/qiskit/gates/double_factorized_trotter.html b/_modules/ffsim/qiskit/gates/double_factorized_trotter.html index 74be71019..afecccd94 100644 --- a/_modules/ffsim/qiskit/gates/double_factorized_trotter.html +++ b/_modules/ffsim/qiskit/gates/double_factorized_trotter.html @@ -4,8 +4,8 @@ - - ffsim.qiskit.gates.double_factorized_trotter - ffsim 0.0.47 + + ffsim.qiskit.gates.double_factorized_trotter - ffsim 0.0.48 @@ -158,7 +158,7 @@
-
ffsim 0.0.47
 +
ffsim 0.0.48
@@ -182,7 +182,7 @@
- ffsim 0.0.47 + ffsim 0.0.48 @@ -462,7 +462,7 @@

Source code for ffsim.qiskit.gates.double_factorized_trotter

-
+
diff --git a/_modules/ffsim/qiskit/gates/givens_ansatz.html b/_modules/ffsim/qiskit/gates/givens_ansatz.html index ef94989e1..da480a15c 100644 --- a/_modules/ffsim/qiskit/gates/givens_ansatz.html +++ b/_modules/ffsim/qiskit/gates/givens_ansatz.html @@ -4,8 +4,8 @@ - - ffsim.qiskit.gates.givens_ansatz - ffsim 0.0.47 + + ffsim.qiskit.gates.givens_ansatz - ffsim 0.0.48 @@ -158,7 +158,7 @@
-
ffsim 0.0.47
 +
ffsim 0.0.48
@@ -182,7 +182,7 @@
- ffsim 0.0.47 + ffsim 0.0.48 @@ -278,7 +278,6 @@

Source code for ffsim.qiskit.gates.givens_ansatz

from __future__ import annotations -import itertools import math from collections.abc import Iterator, Sequence @@ -291,109 +290,8 @@

Source code for ffsim.qiskit.gates.givens_ansatz

Qubit, ) from qiskit.circuit.library import PhaseGate, XXPlusYYGate -from typing_extensions import deprecated -from ffsim.variational import GivensAnsatzOp, GivensAnsatzOperator - - -
-[docs] -@deprecated("GivensAnsatzOperatorJW is deprecated. Use GivensAnsatzOpJW instead.") -class GivensAnsatzOperatorJW(Gate): - """Givens rotation ansatz operator under the Jordan-Wigner transformation. - - .. warning:: - This class is deprecated. Use :class:`ffsim.qiskit.GivensAnsatzOpJW` instead. - - See :class:`ffsim.GivensAnsatzOperator` for a description of this gate's unitary. - """ - -
-[docs] - def __init__( - self, givens_ansatz_operator: GivensAnsatzOperator, *, label: str | None = None - ): - """Create a new Givens ansatz operator gate. - - Args: - givens_ansatz_operator: The Givens rotation ansatz operator. - label: The label of the gate. - """ - self.givens_ansatz_operator = givens_ansatz_operator - super().__init__( - "givens_ansatz_jw", 2 * givens_ansatz_operator.norb, [], label=label - )
- - - def _define(self): - """Gate decomposition.""" - qubits = QuantumRegister(self.num_qubits) - circuit = QuantumCircuit(qubits, name=self.name) - norb = len(qubits) // 2 - alpha_qubits = qubits[:norb] - beta_qubits = qubits[norb:] - for instruction in _givens_ansatz_operator_jw( - alpha_qubits, self.givens_ansatz_operator - ): - circuit.append(instruction) - for instruction in _givens_ansatz_operator_jw( - beta_qubits, self.givens_ansatz_operator - ): - circuit.append(instruction) - self.definition = circuit
- - - -
-[docs] -@deprecated( - "GivensAnsatzOperatorSpinlessJW is deprecated. " - "Use GivensAnsatzOpSpinlessJW instead." -) -class GivensAnsatzOperatorSpinlessJW(Gate): - """Givens rotation ansatz operator under the Jordan-Wigner transformation, spinless. - - Like :class:`GivensAnsatzOperatorJW` but only acts on a single spin species. - """ - -
-[docs] - def __init__( - self, givens_ansatz_operator: GivensAnsatzOperator, *, label: str | None = None - ): - """Create a new Givens ansatz operator gate. - - Args: - givens_ansatz_operator: The Givens rotation ansatz operator. - label: The label of the gate. - """ - self.givens_ansatz_operator = givens_ansatz_operator - super().__init__( - "givens_ansatz_jw", givens_ansatz_operator.norb, [], label=label - )
- - - def _define(self): - """Gate decomposition.""" - qubits = QuantumRegister(self.num_qubits) - self.definition = QuantumCircuit.from_instructions( - _givens_ansatz_operator_jw(qubits, self.givens_ansatz_operator), - qubits=qubits, - name=self.name, - )
- - - -def _givens_ansatz_operator_jw( - qubits: Sequence[Qubit], givens_ansatz_operator: GivensAnsatzOperator -) -> Iterator[CircuitInstruction]: - for (i, j), theta in zip( - itertools.cycle(givens_ansatz_operator.interaction_pairs), - givens_ansatz_operator.thetas, - ): - yield CircuitInstruction( - XXPlusYYGate(2 * theta, -0.5 * math.pi), (qubits[i], qubits[j]) - ) +from ffsim.variational import GivensAnsatzOp
@@ -512,7 +410,7 @@

Source code for ffsim.qiskit.gates.givens_ansatz

-
+
diff --git a/_modules/ffsim/qiskit/gates/num_num_ansatz.html b/_modules/ffsim/qiskit/gates/num_num_ansatz.html index dfbbe0820..dcff14c97 100644 --- a/_modules/ffsim/qiskit/gates/num_num_ansatz.html +++ b/_modules/ffsim/qiskit/gates/num_num_ansatz.html @@ -4,8 +4,8 @@ - - ffsim.qiskit.gates.num_num_ansatz - ffsim 0.0.47 + + ffsim.qiskit.gates.num_num_ansatz - ffsim 0.0.48 @@ -158,7 +158,7 @@
-
ffsim 0.0.47
 +
ffsim 0.0.48
@@ -182,7 +182,7 @@
- ffsim 0.0.47 + ffsim 0.0.48 @@ -393,7 +393,7 @@

Source code for ffsim.qiskit.gates.num_num_ansatz

-
+
diff --git a/_modules/ffsim/qiskit/gates/num_op_sum.html b/_modules/ffsim/qiskit/gates/num_op_sum.html index bbbce74eb..8a3071ca3 100644 --- a/_modules/ffsim/qiskit/gates/num_op_sum.html +++ b/_modules/ffsim/qiskit/gates/num_op_sum.html @@ -4,8 +4,8 @@ - - ffsim.qiskit.gates.num_op_sum - ffsim 0.0.47 + + ffsim.qiskit.gates.num_op_sum - ffsim 0.0.48 @@ -158,7 +158,7 @@
-
ffsim 0.0.47
 +
ffsim 0.0.48
@@ -182,7 +182,7 @@
- ffsim 0.0.47 + ffsim 0.0.48 @@ -480,7 +480,7 @@

Source code for ffsim.qiskit.gates.num_op_sum

-
+
diff --git a/_modules/ffsim/qiskit/gates/orbital_rotation.html b/_modules/ffsim/qiskit/gates/orbital_rotation.html index cf7b7c264..254cb7dd5 100644 --- a/_modules/ffsim/qiskit/gates/orbital_rotation.html +++ b/_modules/ffsim/qiskit/gates/orbital_rotation.html @@ -4,8 +4,8 @@ - - ffsim.qiskit.gates.orbital_rotation - ffsim 0.0.47 + + ffsim.qiskit.gates.orbital_rotation - ffsim 0.0.48 @@ -158,7 +158,7 @@
-
ffsim 0.0.47
 +
ffsim 0.0.48
@@ -182,7 +182,7 @@
- ffsim 0.0.47 + ffsim 0.0.48 @@ -518,7 +518,7 @@

Source code for ffsim.qiskit.gates.orbital_rotation

+
diff --git a/_modules/ffsim/qiskit/gates/slater_determinant.html b/_modules/ffsim/qiskit/gates/slater_determinant.html index aa68a6622..8f0e34874 100644 --- a/_modules/ffsim/qiskit/gates/slater_determinant.html +++ b/_modules/ffsim/qiskit/gates/slater_determinant.html @@ -4,8 +4,8 @@ - - ffsim.qiskit.gates.slater_determinant - ffsim 0.0.47 + + ffsim.qiskit.gates.slater_determinant - ffsim 0.0.48 @@ -158,7 +158,7 @@
-
ffsim 0.0.47
 +
ffsim 0.0.48
@@ -182,7 +182,7 @@
- ffsim 0.0.47 + ffsim 0.0.48 @@ -668,7 +668,7 @@

Source code for ffsim.qiskit.gates.slater_determinant

+
diff --git a/_modules/ffsim/qiskit/gates/ucj.html b/_modules/ffsim/qiskit/gates/ucj.html index 1aa11b488..a63b60388 100644 --- a/_modules/ffsim/qiskit/gates/ucj.html +++ b/_modules/ffsim/qiskit/gates/ucj.html @@ -4,8 +4,8 @@ - - ffsim.qiskit.gates.ucj - ffsim 0.0.47 + + ffsim.qiskit.gates.ucj - ffsim 0.0.48 @@ -158,7 +158,7 @@
-
ffsim 0.0.47
 +
ffsim 0.0.48
@@ -182,7 +182,7 @@
- ffsim 0.0.47 + ffsim 0.0.48 @@ -511,7 +511,7 @@

Source code for ffsim.qiskit.gates.ucj
-
+
diff --git a/_modules/ffsim/qiskit/gates/ucj_operator.html b/_modules/ffsim/qiskit/gates/ucj_operator.html deleted file mode 100644 index 78ec3104c..000000000 --- a/_modules/ffsim/qiskit/gates/ucj_operator.html +++ /dev/null @@ -1,395 +0,0 @@ - - - - - - - - ffsim.qiskit.gates.ucj_operator - ffsim 0.0.47 - - - - - - - - - - - - - - - - - Contents - - - - - - Menu - - - - - - - - - Expand - - - - - - Light mode - - - - - - - - - - - - - - Dark mode - - - - - - - Auto light/dark, in light mode - - - - - - - - - - - - - - - Auto light/dark, in dark mode - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
-
-
- -
-
-
ffsim 0.0.47
 -
-
-
- -
- -
-
- -
-
-
- - - - - Back to top - -
-
- -
- -
-
-

Source code for ffsim.qiskit.gates.ucj_operator

-# (C) Copyright IBM 2024.
-#
-# This code is licensed under the Apache License, Version 2.0. You may
-# obtain a copy of this license in the LICENSE.txt file in the root directory
-# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
-#
-# Any modifications or derivative works of this code must retain this
-# copyright notice, and modified files need to carry a notice indicating
-# that they have been altered from the originals.
-
-"""(Local) unitary cluster Jastrow ansatz gate."""
-
-from __future__ import annotations
-
-from collections.abc import Iterator, Sequence
-
-from qiskit.circuit import (
-    CircuitInstruction,
-    Gate,
-    QuantumCircuit,
-    QuantumRegister,
-    Qubit,
-)
-from typing_extensions import deprecated
-
-from ffsim.qiskit.gates.diag_coulomb import DiagCoulombEvolutionJW
-from ffsim.qiskit.gates.orbital_rotation import OrbitalRotationJW
-from ffsim.variational import UCJOperator
-
-
-

-[docs]
-@deprecated("The UCJOperatorJW class is deprecated. Use UCJOpSpinBalancedJW instead.")
-class UCJOperatorJW(Gate):
-    """Unitary cluster Jastrow operator under the Jordan-Wigner transformation.
-
-    .. warning::
-        This class is deprecated. Use :class:`ffsim.qiskit.UCJOpSpinBalancedJW` instead.
-
-    See :class:`ffsim.UCJOperator` for a description of this gate's unitary.
-
-    This gate assumes that qubits are ordered such that the first `norb` qubits
-    correspond to the alpha orbitals and the last `norb` qubits correspond to the
-    beta orbitals.
-    """
-
-

-[docs]
-    def __init__(self, ucj_operator: UCJOperator, *, label: str | None = None):
-        """Create a new unitary cluster Jastrow (UCJ) gate.
-
-        Args:
-            ucj_operator: The UCJ operator.
-            label: The label of the gate.
-        """
-        self.ucj_operator = ucj_operator
-        super().__init__("ucj_jw", 2 * ucj_operator.norb, [], label=label)

-
-
-    def _define(self):
-        """Gate decomposition."""
-        qubits = QuantumRegister(self.num_qubits)
-        self.definition = QuantumCircuit.from_instructions(
-            _ucj_jw(qubits, self.ucj_operator), qubits=qubits, name=self.name
-        )

-
-
-
-def _ucj_jw(
-    qubits: Sequence[Qubit], ucj_op: UCJOperator
-) -> Iterator[CircuitInstruction]:
-    for mat, mat_alpha_beta, orbital_rotation in zip(
-        ucj_op.diag_coulomb_mats_alpha_alpha,
-        ucj_op.diag_coulomb_mats_alpha_beta,
-        ucj_op.orbital_rotations,
-    ):
-        yield CircuitInstruction(
-            OrbitalRotationJW(ucj_op.norb, orbital_rotation.T.conj()), qubits
-        )
-        yield CircuitInstruction(
-            DiagCoulombEvolutionJW(ucj_op.norb, (mat, mat_alpha_beta, mat), -1.0),
-            qubits,
-        )
-        yield CircuitInstruction(
-            OrbitalRotationJW(ucj_op.norb, orbital_rotation), qubits
-        )
-    if ucj_op.final_orbital_rotation is not None:
-        yield CircuitInstruction(
-            OrbitalRotationJW(ucj_op.norb, ucj_op.final_orbital_rotation), qubits
-        )
-
-
-
-
- -
- - -
-
-
-
- Copyright © 2023, IBM -
- Made with Sphinx and @pradyunsg's - - Furo - -
-
- -
-
- -
-
- -
-
- - - - - - \ No newline at end of file diff --git a/_modules/ffsim/qiskit/jordan_wigner.html b/_modules/ffsim/qiskit/jordan_wigner.html index 1b1b697c2..4208e3388 100644 --- a/_modules/ffsim/qiskit/jordan_wigner.html +++ b/_modules/ffsim/qiskit/jordan_wigner.html @@ -4,8 +4,8 @@ - - ffsim.qiskit.jordan_wigner - ffsim 0.0.47 + + ffsim.qiskit.jordan_wigner - ffsim 0.0.48 @@ -158,7 +158,7 @@
-
ffsim 0.0.47
 +
ffsim 0.0.48
@@ -182,7 +182,7 @@
- ffsim 0.0.47 + ffsim 0.0.48 @@ -376,7 +376,7 @@

Source code for ffsim.qiskit.jordan_wigner
-
+
diff --git a/_modules/ffsim/qiskit/sampler.html b/_modules/ffsim/qiskit/sampler.html index 85c8ee028..03df18184 100644 --- a/_modules/ffsim/qiskit/sampler.html +++ b/_modules/ffsim/qiskit/sampler.html @@ -4,8 +4,8 @@ - - ffsim.qiskit.sampler - ffsim 0.0.47 + + ffsim.qiskit.sampler - ffsim 0.0.48 @@ -158,7 +158,7 @@
-
ffsim 0.0.47
 +
ffsim 0.0.48
@@ -182,7 +182,7 @@
- ffsim 0.0.47 + ffsim 0.0.48 @@ -524,7 +524,7 @@

Source code for ffsim.qiskit.sampler
-
+
diff --git a/_modules/ffsim/qiskit/sim.html b/_modules/ffsim/qiskit/sim.html index 8c6077d66..4b1489d42 100644 --- a/_modules/ffsim/qiskit/sim.html +++ b/_modules/ffsim/qiskit/sim.html @@ -4,8 +4,8 @@ - - ffsim.qiskit.sim - ffsim 0.0.47 + + ffsim.qiskit.sim - ffsim 0.0.48 @@ -158,7 +158,7 @@
-
ffsim 0.0.47
 +
ffsim 0.0.48
@@ -182,7 +182,7 @@
- ffsim 0.0.47 + ffsim 0.0.48 @@ -287,8 +287,8 @@

Source code for ffsim.qiskit.sim

 from ffsim.qiskit.gates import (
     DiagCoulombEvolutionJW,
     DiagCoulombEvolutionSpinlessJW,
-    GivensAnsatzOperatorJW,
-    GivensAnsatzOperatorSpinlessJW,
+    GivensAnsatzOpJW,
+    GivensAnsatzOpSpinlessJW,
     OrbitalRotationJW,
     OrbitalRotationSpinlessJW,
     PrepareHartreeFockJW,
@@ -296,7 +296,6 @@ 
Source code for ffsim.qiskit.sim
     PrepareSlaterDeterminantJW,
     PrepareSlaterDeterminantSpinlessJW,
     SimulateTrotterDoubleFactorizedJW,
-    UCJOperatorJW,
     UCJOpSpinBalancedJW,
     UCJOpSpinlessJW,
     UCJOpSpinUnbalancedJW,
@@ -405,14 +404,14 @@ 
Source code for ffsim.qiskit.sim
         )
         return states.StateVector(vec=vec, norb=norb, nelec=nelec)
 
-    if isinstance(op, GivensAnsatzOperatorSpinlessJW):
+    if isinstance(op, GivensAnsatzOpSpinlessJW):
         if not consecutive_sorted:
             raise ValueError(
                 f"Gate of type '{op.__class__.__name__}' must be applied to "
                 "consecutive qubits, in ascending order."
             )
         vec = protocols.apply_unitary(
-            vec, op.givens_ansatz_operator, norb=norb, nelec=nelec, copy=False
+            vec, op.givens_ansatz_op, norb=norb, nelec=nelec, copy=False
         )
         return states.StateVector(vec=vec, norb=norb, nelec=nelec)
 
@@ -475,14 +474,14 @@ 
Source code for ffsim.qiskit.sim
         )
         return states.StateVector(vec=vec, norb=norb, nelec=nelec)
 
-    if isinstance(op, GivensAnsatzOperatorJW):
+    if isinstance(op, GivensAnsatzOpJW):
         if not consecutive_sorted:
             raise ValueError(
                 f"Gate of type '{op.__class__.__name__}' must be applied to "
                 "consecutive qubits, in ascending order."
             )
         vec = protocols.apply_unitary(
-            vec, op.givens_ansatz_operator, norb=norb, nelec=nelec, copy=False
+            vec, op.givens_ansatz_op, norb=norb, nelec=nelec, copy=False
         )
         return states.StateVector(vec=vec, norb=norb, nelec=nelec)
 
@@ -532,17 +531,6 @@ 
Source code for ffsim.qiskit.sim
         )
         return states.StateVector(vec=vec, norb=norb, nelec=nelec)
 
-    if isinstance(op, UCJOperatorJW):
-        if not consecutive_sorted:
-            raise ValueError(
-                f"Gate of type '{op.__class__.__name__}' must be applied to "
-                "consecutive qubits, in ascending order."
-            )
-        vec = protocols.apply_unitary(
-            vec, op.ucj_operator, norb=norb, nelec=nelec, copy=False
-        )
-        return states.StateVector(vec=vec, norb=norb, nelec=nelec)
-
     if isinstance(op, Barrier):
         return state_vector
 
@@ -584,7 +572,7 @@ 
Source code for ffsim.qiskit.sim
       
     
   

-

+

     
     
     
diff --git a/_modules/ffsim/qiskit/transpiler_passes/drop_negligible.html b/_modules/ffsim/qiskit/transpiler_passes/drop_negligible.html
index 660eda270..9de94ded7 100644
--- a/_modules/ffsim/qiskit/transpiler_passes/drop_negligible.html
+++ b/_modules/ffsim/qiskit/transpiler_passes/drop_negligible.html
@@ -4,8 +4,8 @@
     
     
 
-    
-        ffsim.qiskit.transpiler_passes.drop_negligible - ffsim 0.0.47
+    
+        ffsim.qiskit.transpiler_passes.drop_negligible - ffsim 0.0.48
       
     
     
@@ -158,7 +158,7 @@
       
     

     

-      
ffsim 0.0.47

+      
ffsim 0.0.48

     

     

       

@@ -182,7 +182,7 @@
       

   
   
-  ffsim 0.0.47
+  ffsim 0.0.48
   
 
 
@@ -375,7 +375,7 @@ 
Source code for ffsim.qiskit.transpiler_passes.drop_negligible

   

-

+

     
     
     
diff --git a/_modules/ffsim/qiskit/transpiler_passes/merge_orbital_rotations.html b/_modules/ffsim/qiskit/transpiler_passes/merge_orbital_rotations.html
index 52bffc38f..164075316 100644
--- a/_modules/ffsim/qiskit/transpiler_passes/merge_orbital_rotations.html
+++ b/_modules/ffsim/qiskit/transpiler_passes/merge_orbital_rotations.html
@@ -4,8 +4,8 @@
     
     
 
-    
-        ffsim.qiskit.transpiler_passes.merge_orbital_rotations - ffsim 0.0.47
+    
+        ffsim.qiskit.transpiler_passes.merge_orbital_rotations - ffsim 0.0.48
       
     
     
@@ -158,7 +158,7 @@
       
     

     

-      
ffsim 0.0.47

+      
ffsim 0.0.48

     

     

       

@@ -182,7 +182,7 @@
       

   
   
-  ffsim 0.0.47
+  ffsim 0.0.48
   
 
 
@@ -410,7 +410,7 @@ 
Source code for ffsim.qiskit.transpiler_passes.merge_orbital_rotations
<
       
     
   

-

+

     
     
     
diff --git a/_modules/ffsim/qiskit/transpiler_stages.html b/_modules/ffsim/qiskit/transpiler_stages.html
index 05c8ae895..61ffec982 100644
--- a/_modules/ffsim/qiskit/transpiler_stages.html
+++ b/_modules/ffsim/qiskit/transpiler_stages.html
@@ -4,8 +4,8 @@
     
     
 
-    
-        ffsim.qiskit.transpiler_stages - ffsim 0.0.47
+    
+        ffsim.qiskit.transpiler_stages - ffsim 0.0.48
       
     
     
@@ -158,7 +158,7 @@
       
     

     

-      
ffsim 0.0.47

+      
ffsim 0.0.48

     

     

       

@@ -182,7 +182,7 @@
       

   
   
-  ffsim 0.0.47
+  ffsim 0.0.48
   
 
 
@@ -344,7 +344,7 @@ 
Source code for ffsim.qiskit.transpiler_stages

   

-

+

     
     
     
diff --git a/_modules/ffsim/qiskit/util.html b/_modules/ffsim/qiskit/util.html
index fdd03a76f..b35d9932a 100644
--- a/_modules/ffsim/qiskit/util.html
+++ b/_modules/ffsim/qiskit/util.html
@@ -4,8 +4,8 @@
     
     
 
-    
-        ffsim.qiskit.util - ffsim 0.0.47
+    
+        ffsim.qiskit.util - ffsim 0.0.48
       
     
     
@@ -158,7 +158,7 @@
       
     

     

-      
ffsim 0.0.47

+      
ffsim 0.0.48

     

     

       

@@ -182,7 +182,7 @@
       

   
   
-  ffsim 0.0.47
+  ffsim 0.0.48
   
 
 
@@ -367,7 +367,7 @@ 
Source code for ffsim.qiskit.util
       
     
   

-

+

     
     
     
diff --git a/_modules/ffsim/random/random.html b/_modules/ffsim/random/random.html
index 45e726e5e..9249bba38 100644
--- a/_modules/ffsim/random/random.html
+++ b/_modules/ffsim/random/random.html
@@ -4,8 +4,8 @@
     
     
 
-    
-        ffsim.random.random - ffsim 0.0.47
+    
+        ffsim.random.random - ffsim 0.0.48
       
     
     
@@ -158,7 +158,7 @@
       
     

     

-      
ffsim 0.0.47

+      
ffsim 0.0.48

     

     

       

@@ -182,7 +182,7 @@
       

   
   
-  ffsim 0.0.47
+  ffsim 0.0.48
   
 
 
@@ -283,6 +283,7 @@ 
Source code for ffsim.random.random
 from typing_extensions import deprecated
 
 from ffsim import hamiltonians, operators, variational
+from ffsim.variational.util import validate_interaction_pairs
 
 
 

@@ -598,50 +599,43 @@ 
Source code for ffsim.random.random
 
 
 
-

-[docs]
-@deprecated(
-    "The random_ucj_operator function is deprecated. Use "
-    "random_ucj_operator_closed_shell or random_ucj_operator_open_shell instead."
-)
-def random_ucj_operator(
+

+[docs]
+def random_uccsd_restricted(
     norb: int,
+    nocc: int,
     *,
-    n_reps: int = 1,
     with_final_orbital_rotation: bool = False,
+    real: bool = False,
     seed=None,
-) -> variational.UCJOperator:
-    """Sample a random unitary cluster Jastrow (UCJ) operator.
+) -> variational.UCCSDOpRestrictedReal:
+    """Sample a random UCCSD operator.
 
     Args:
-        norb: The number of orbitals.
-        n_reps: The number of ansatz repetitions.
+        norb: The number of spatial orbitals.
+        nocc: The number of spatial orbitals that are occupied by electrons.
         with_final_orbital_rotation: Whether to include a final orbital rotation
             in the operator.
+        real: Whether to sample a real-valued object rather than a complex-valued one.
         seed: A seed to initialize the pseudorandom number generator.
             Should be a valid input to ``np.random.default_rng``.
 
     Returns:
-        The sampled UCJ operator.
+        The sampled UCCSD operator.
     """
     rng = np.random.default_rng(seed)
-    diag_coulomb_mats_alpha_alpha = np.stack(
-        [random_real_symmetric_matrix(norb, seed=rng) for _ in range(n_reps)]
-    )
-    diag_coulomb_mats_alpha_beta = np.stack(
-        [random_real_symmetric_matrix(norb, seed=rng) for _ in range(n_reps)]
-    )
-    orbital_rotations = np.stack(
-        [random_unitary(norb, seed=rng) for _ in range(n_reps)]
-    )
+    dtype = float if real else complex
+    nvrt = norb - nocc
+    t1: np.ndarray = rng.standard_normal((nocc, nvrt)).astype(dtype, copy=False)
+    if not real:
+        t1 += 1j * rng.standard_normal((nocc, nvrt))
+    t2 = random_t2_amplitudes(norb, nocc, seed=rng, dtype=dtype)
     final_orbital_rotation = None
     if with_final_orbital_rotation:
-        final_orbital_rotation = random_unitary(norb, seed=rng)
-    return variational.UCJOperator(
-        diag_coulomb_mats_alpha_alpha=diag_coulomb_mats_alpha_alpha,
-        diag_coulomb_mats_alpha_beta=diag_coulomb_mats_alpha_beta,
-        orbital_rotations=orbital_rotations,
-        final_orbital_rotation=final_orbital_rotation,
+        unitary_func = random_orthogonal if real else random_unitary
+        final_orbital_rotation = unitary_func(norb, seed=rng)
+    return variational.UCCSDOpRestrictedReal(
+        t1=t1, t2=t2, final_orbital_rotation=final_orbital_rotation
     )

 
 
@@ -653,21 +647,41 @@ 
Source code for ffsim.random.random
     *,
     n_reps: int = 1,
     with_final_orbital_rotation: bool = False,
+    interaction_pairs: tuple[list[tuple[int, int]] | None, list[tuple[int, int]] | None]
+    | None = None,
     seed=None,
 ) -> variational.UCJOpSpinBalanced:
-    """Sample a random spin-balanced unitary cluster Jastrow (UCJ) operator.
+    r"""Sample a random spin-balanced unitary cluster Jastrow (UCJ) operator.
 
     Args:
         norb: The number of spatial orbitals.
         n_reps: The number of ansatz repetitions.
         with_final_orbital_rotation: Whether to include a final orbital rotation
             in the operator.
+        interaction_pairs: Optional restrictions on allowed orbital interactions
+            for the diagonal Coulomb operators.
+            If specified, `interaction_pairs` should be a pair of lists,
+            for alpha-alpha and alpha-beta interactions, in that order.
+            Either list can be substituted with ``None`` to indicate no restrictions
+            on interactions.
+            Each list should contain pairs of integers representing the orbitals
+            that are allowed to interact. These pairs can also be interpreted as
+            indices of diagonal Coulomb matrix entries that are allowed to be
+            nonzero.
+            Each integer pair must be upper triangular, that is, of the form
+            :math:`(i, j)` where :math:`i \leq j`.
         seed: A seed to initialize the pseudorandom number generator.
             Should be a valid input to ``np.random.default_rng``.
 
     Returns:
         The sampled UCJ operator.
     """
+    if interaction_pairs is None:
+        interaction_pairs = (None, None)
+    pairs_aa, pairs_ab = interaction_pairs
+    validate_interaction_pairs(pairs_aa, ordered=False)
+    validate_interaction_pairs(pairs_ab, ordered=False)
+
     rng = np.random.default_rng(seed)
     diag_coulomb_mats = np.stack(
         [
@@ -686,6 +700,21 @@ 
Source code for ffsim.random.random
     final_orbital_rotation = None
     if with_final_orbital_rotation:
         final_orbital_rotation = random_unitary(norb, seed=rng)
+
+    # Zero out diagonal coulomb matrix entries if requested
+    if pairs_aa is not None:
+        mask = np.zeros((norb, norb), dtype=bool)
+        rows, cols = zip(*pairs_aa)
+        mask[rows, cols] = True
+        mask[cols, rows] = True
+        diag_coulomb_mats[:, 0] *= mask
+    if pairs_ab is not None:
+        mask = np.zeros((norb, norb), dtype=bool)
+        rows, cols = zip(*pairs_ab)
+        mask[rows, cols] = True
+        mask[cols, rows] = True
+        diag_coulomb_mats[:, 1] *= mask
+
     return variational.UCJOpSpinBalanced(
         diag_coulomb_mats=diag_coulomb_mats,
         orbital_rotations=orbital_rotations,
@@ -700,14 +729,33 @@ 
Source code for ffsim.random.random
     norb: int,
     *,
     n_reps: int = 1,
+    interaction_pairs: tuple[
+        list[tuple[int, int]] | None,
+        list[tuple[int, int]] | None,
+        list[tuple[int, int]] | None,
+    ]
+    | None = None,
     with_final_orbital_rotation: bool = False,
     seed=None,
 ) -> variational.UCJOpSpinUnbalanced:
-    """Sample a random spin-unbalanced unitary cluster Jastrow (UCJ) operator.
+    r"""Sample a random spin-unbalanced unitary cluster Jastrow (UCJ) operator.
 
     Args:
         norb: The number of orbitals.
         n_reps: The number of ansatz repetitions.
+        interaction_pairs: Optional restrictions on allowed orbital interactions
+            for the diagonal Coulomb operators.
+            If specified, `interaction_pairs` should be a tuple of 3 lists,
+            for alpha-alpha, alpha-beta, and beta-beta interactions, in that order.
+            Any list can be substituted with ``None`` to indicate no restrictions
+            on interactions.
+            Each list should contain pairs of integers representing the orbitals
+            that are allowed to interact. These pairs can also be interpreted as
+            indices of diagonal Coulomb matrix entries that are allowed to be
+            nonzero.
+            For the alpha-alpha and beta-beta interactions, each integer
+            pair must be upper triangular, that is, of the form :math:`(i, j)` where
+            :math:`i \leq j`.
         with_final_orbital_rotation: Whether to include a final orbital rotation
             in the operator.
         seed: A seed to initialize the pseudorandom number generator.
@@ -716,6 +764,13 @@ 
Source code for ffsim.random.random
     Returns:
         The sampled UCJ operator.
     """
+    if interaction_pairs is None:
+        interaction_pairs = (None, None, None)
+    pairs_aa, pairs_ab, pairs_bb = interaction_pairs
+    validate_interaction_pairs(pairs_aa, ordered=False)
+    validate_interaction_pairs(pairs_bb, ordered=True)
+    validate_interaction_pairs(pairs_bb, ordered=False)
+
     rng = np.random.default_rng(seed)
     diag_coulomb_mats = np.stack(
         [
@@ -740,6 +795,26 @@ 
Source code for ffsim.random.random
         final_orbital_rotation = np.stack(
             [random_unitary(norb, seed=rng), random_unitary(norb, seed=rng)]
         )
+
+    # Zero out diagonal coulomb matrix entries if requested
+    if pairs_aa is not None:
+        mask = np.zeros((norb, norb), dtype=bool)
+        rows, cols = zip(*pairs_aa)
+        mask[rows, cols] = True
+        mask[cols, rows] = True
+        diag_coulomb_mats[:, 0] *= mask
+    if pairs_ab is not None:
+        mask = np.zeros((norb, norb), dtype=bool)
+        rows, cols = zip(*pairs_ab)
+        mask[rows, cols] = True
+        diag_coulomb_mats[:, 1] *= mask
+    if pairs_bb is not None:
+        mask = np.zeros((norb, norb), dtype=bool)
+        rows, cols = zip(*pairs_bb)
+        mask[rows, cols] = True
+        mask[cols, rows] = True
+        diag_coulomb_mats[:, 2] *= mask
+
     return variational.UCJOpSpinUnbalanced(
         diag_coulomb_mats=diag_coulomb_mats,
         orbital_rotations=orbital_rotations,
@@ -754,22 +829,33 @@ 
Source code for ffsim.random.random
     norb: int,
     *,
     n_reps: int = 1,
+    interaction_pairs: list[tuple[int, int]] | None = None,
     with_final_orbital_rotation: bool = False,
     seed=None,
 ) -> variational.UCJOpSpinless:
-    """Sample a random spinless unitary cluster Jastrow (UCJ) operator.
+    r"""Sample a random spinless unitary cluster Jastrow (UCJ) operator.
 
     Args:
         norb: The number of orbitals.
         n_reps: The number of ansatz repetitions.
         with_final_orbital_rotation: Whether to include a final orbital rotation
             in the operator.
+        interaction_pairs: Optional restrictions on allowed orbital interactions
+            for the diagonal Coulomb operators.
+            If specified, `interaction_pairs` should be a list of integer pairs
+            representing the orbitals that are allowed to interact. These pairs
+            can also be interpreted as indices of diagonal Coulomb matrix entries
+            that are allowed to be nonzero.
+            Each integer pair must be upper triangular, that is, of the form
+            :math:`(i, j)` where :math:`i \leq j`.
         seed: A seed to initialize the pseudorandom number generator.
             Should be a valid input to ``np.random.default_rng``.
 
     Returns:
         The sampled UCJ operator.
     """
+    validate_interaction_pairs(interaction_pairs, ordered=False)
+
     rng = np.random.default_rng(seed)
     diag_coulomb_mats = np.stack(
         [random_real_symmetric_matrix(norb, seed=rng) for _ in range(n_reps)]
@@ -780,6 +866,15 @@ 
Source code for ffsim.random.random
     final_orbital_rotation = None
     if with_final_orbital_rotation:
         final_orbital_rotation = random_unitary(norb, seed=rng)
+
+    # Zero out diagonal coulomb matrix entries if requested
+    if interaction_pairs is not None:
+        mask = np.zeros((norb, norb), dtype=bool)
+        rows, cols = zip(*interaction_pairs)
+        mask[rows, cols] = True
+        mask[cols, rows] = True
+        diag_coulomb_mats *= mask
+
     return variational.UCJOpSpinless(
         diag_coulomb_mats=diag_coulomb_mats,
         orbital_rotations=orbital_rotations,
@@ -997,7 +1092,7 @@ 
Source code for ffsim.random.random
       
     
   

-

+

     
     
     
diff --git a/_modules/ffsim/spin.html b/_modules/ffsim/spin.html
index c5706c16e..3f1dc9375 100644
--- a/_modules/ffsim/spin.html
+++ b/_modules/ffsim/spin.html
@@ -4,8 +4,8 @@
     
     
 
-    
-        ffsim.spin - ffsim 0.0.47
+    
+        ffsim.spin - ffsim 0.0.48
       
     
     
@@ -158,7 +158,7 @@
       
     

     

-      
ffsim 0.0.47

+      
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@@ -182,7 +182,7 @@
       

   
   
-  ffsim 0.0.47
+  ffsim 0.0.48
   
 
 
@@ -345,7 +345,7 @@ 
Source code for ffsim.spin
       
     
   

-

+

     
     
     
diff --git a/_modules/ffsim/states/bitstring.html b/_modules/ffsim/states/bitstring.html
index 82651aac1..b2b1e0074 100644
--- a/_modules/ffsim/states/bitstring.html
+++ b/_modules/ffsim/states/bitstring.html
@@ -4,8 +4,8 @@
     
     
 
-    
-        ffsim.states.bitstring - ffsim 0.0.47
+    
+        ffsim.states.bitstring - ffsim 0.0.48
       
     
     
@@ -158,7 +158,7 @@
       
     

     

-      
ffsim 0.0.47

+      
ffsim 0.0.48

     

     

       

@@ -182,7 +182,7 @@
       

   
   
-  ffsim 0.0.47
+  ffsim 0.0.48
   
 
 
@@ -742,7 +742,7 @@ 
Source code for ffsim.states.bitstring
     """
     if not len(strings):
         return np.array([])
-    if isinstance(strings, np.ndarray):
+    if isinstance(strings, np.ndarray) and strings.ndim == 2:
         bitstring_type = BitstringType.BIT_ARRAY
     elif isinstance(strings[0], str):
         bitstring_type = BitstringType.STRING
@@ -762,6 +762,11 @@ 
Source code for ffsim.states.bitstring
     dim_b = math.comb(norb, n_beta)
     return addrs_a * dim_b + addrs_b

 
+
+
+def bitstring_to_occupied_orbitals(bitstring: int) -> list[int]:
+    """Return a list of bit indices where a bitstring is equal to one."""
+    return [i for i in range(bitstring.bit_length()) if bitstring >> i & 1]
 

         
       

@@ -794,7 +799,7 @@ 
Source code for ffsim.states.bitstring
       
     
   

-

+

     
     
     
diff --git a/_modules/ffsim/states/product_state_sum.html b/_modules/ffsim/states/product_state_sum.html
index b35f27dbd..4da047b54 100644
--- a/_modules/ffsim/states/product_state_sum.html
+++ b/_modules/ffsim/states/product_state_sum.html
@@ -4,8 +4,8 @@
     
     
 
-    
-        ffsim.states.product_state_sum - ffsim 0.0.47
+    
+        ffsim.states.product_state_sum - ffsim 0.0.48
       
     
     
@@ -158,7 +158,7 @@
       
     

     

-      
ffsim 0.0.47

+      
ffsim 0.0.48

     

     

       

@@ -182,7 +182,7 @@
       

   
   
-  ffsim 0.0.47
+  ffsim 0.0.48
   
 
 
@@ -336,7 +336,7 @@ 
Source code for ffsim.states.product_state_sum

   

-

+

     
     
     
diff --git a/_modules/ffsim/states/rdm.html b/_modules/ffsim/states/rdm.html
index d59982b6a..cca628d0b 100644
--- a/_modules/ffsim/states/rdm.html
+++ b/_modules/ffsim/states/rdm.html
@@ -4,8 +4,8 @@
     
     
 
-    
-        ffsim.states.rdm - ffsim 0.0.47
+    
+        ffsim.states.rdm - ffsim 0.0.48
       
     
     
@@ -158,7 +158,7 @@
       
     

     

-      
ffsim 0.0.47

+      
ffsim 0.0.48

     

     

       

@@ -182,7 +182,7 @@
       

   
   
-  ffsim 0.0.47
+  ffsim 0.0.48
   
 
 
@@ -733,7 +733,7 @@ 
Source code for ffsim.states.rdm
       
     
   

-

+

     
     
     
diff --git a/_modules/ffsim/states/sample_slater.html b/_modules/ffsim/states/sample_slater.html
new file mode 100644
index 000000000..139dd1ff5
--- /dev/null
+++ b/_modules/ffsim/states/sample_slater.html
@@ -0,0 +1,521 @@
+
+
+  
+    
+    
+
+    
+        ffsim.states.sample_slater - ffsim 0.0.48
+      
+    
+    
+    
+    
+    
+
+
+
+
+  
+    
+    
+    
+
+  
+    Contents
+    
+      
+    
+  
+  
+    Menu
+    
+      
+      
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+      
+    
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+  
+    Expand
+    
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+    Dark mode
+    
+      
+      
+    
+  
+  
+    Auto light/dark, in light mode
+    
+      
+      
+      
+      
+      
+      
+      
+      
+      
+      
+    
+  
+  
+    Auto light/dark, in dark mode
+    
+      
+      
+      
+      
+      
+      
+      
+      
+      
+      
+    
+  
+  
+    
+      
+      
+    
+  
+  
+    
+      
+      
+      
+    
+  
+
+
+
+
+
+
+
+
+
+
+
+

+  

+    

+      
+    

+    

+      
ffsim 0.0.48

+    

+    

+      

+        
+      

+      
+    

+  

+  
+  

+    

+      

+        
+          
+            
+          
+          Back to top
+        
+        

+          

+            
+          

+          
+        

+        

+          
Source code for ffsim.states.sample_slater
+# (C) Copyright IBM 2024.
+#
+# This code is licensed under the Apache License, Version 2.0. You may
+# obtain a copy of this license in the LICENSE.txt file in the root directory
+# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
+#
+# Any modifications or derivative works of this code must retain this
+# copyright notice, and modified files need to carry a notice indicating
+# that they have been altered from the originals.
+
+"""Function to sample bitstrings from a Slater determinant."""
+
+from __future__ import annotations
+
+import itertools
+from collections.abc import Sequence
+from typing import cast
+
+import numpy as np
+
+from ffsim.states.bitstring import (
+    BitstringType,
+    concatenate_bitstrings,
+    convert_bitstring_type,
+    restrict_bitstrings,
+)
+
+
+

+[docs]
+def sample_slater_determinant(
+    rdm: np.ndarray | tuple[np.ndarray, np.ndarray],
+    norb: int,
+    nelec: int | tuple[int, int],
+    *,
+    orbs: Sequence[int] | tuple[Sequence[int], Sequence[int]] | None = None,
+    shots: int = 1,
+    concatenate: bool = True,
+    bitstring_type: BitstringType = BitstringType.STRING,
+    seed: np.random.Generator | int | None = None,
+) -> Sequence[int] | Sequence[str] | np.ndarray:
+    """Collect samples of electronic configurations from a Slater determinant.
+
+    The Slater determinant is defined by its one-body reduced density matrix (RDM).
+    The sampler uses a determinantal point process to auto-regressively produce
+    uncorrelated samples.
+
+    This sampling strategy is known as
+    `determinantal point processes <https://arxiv.org/abs/1207.6083>`
+
+    Args:
+        rdm: The one-body reduced density matrix that defines the Slater determinant
+            This is either a single Numpy array specifying the 1-RDM of a
+            spin-polarized system, or a pair of Numpy arrays where each element
+            of the pair contains the 1-RDM for each spin sector.
+        norb: The number of spatial orbitals.
+        nelec: Either a single integer representing the number of fermions for a
+            spinless system, or a pair of integers storing the numbers of spin alpha
+            and spin beta fermions.
+        shots: The number of bitstrings to sample.
+        concatenate: Whether to concatenate the spin-alpha and spin-beta parts of the
+            bitstrings. If True, then a single list of concatenated bitstrings is
+            returned. The strings are concatenated in the order :math:`s_b s_a`,
+            that is, the alpha string appears on the right.
+            If False, then two lists are returned, ``(strings_a, strings_b)``. Note that
+            the list of alpha strings appears first, that is, on the left.
+            In the spinless case (when `nelec` is an integer), this argument is ignored.
+        bitstring_type: The desired type of bitstring output.
+        seed: A seed to initialize the pseudorandom number generator.
+            Should be a valid input to ``np.random.default_rng``.
+
+    Returns:
+        A 2D Numpy array with samples of electronic configurations.
+        Each row is a sample.
+    """
+    rng = np.random.default_rng(seed)
+
+    if isinstance(nelec, int):
+        # Spinless case
+        rdm = cast(np.ndarray, rdm)
+        norb, _ = rdm.shape
+        if orbs is None:
+            orbs = range(norb)
+        orbs = cast(Sequence[int], orbs)
+        strings = _sample_slater_spinless(rdm, nelec, shots, rng)
+        strings = restrict_bitstrings(strings, orbs, bitstring_type=BitstringType.INT)
+        return convert_bitstring_type(
+            strings,
+            BitstringType.INT,
+            bitstring_type,
+            length=len(orbs),
+        )
+
+    # Spinful case
+    rdm_a, rdm_b = rdm
+    n_a, n_b = nelec
+    norb, _ = rdm_a.shape
+    if orbs is None:
+        orbs = (range(norb), range(norb))
+    orbs_a, orbs_b = orbs
+    orbs_a = cast(Sequence[int], orbs_a)
+    orbs_b = cast(Sequence[int], orbs_b)
+    strings_a = _sample_slater_spinless(rdm_a, n_a, shots, rng)
+    strings_b = _sample_slater_spinless(rdm_b, n_b, shots, rng)
+    strings_a = restrict_bitstrings(strings_a, orbs_a, bitstring_type=BitstringType.INT)
+    strings_b = restrict_bitstrings(strings_b, orbs_b, bitstring_type=BitstringType.INT)
+
+    if concatenate:
+        strings = concatenate_bitstrings(
+            strings_a,
+            strings_b,
+            BitstringType.INT,
+            length=len(orbs_a),
+        )
+        return convert_bitstring_type(
+            strings,
+            BitstringType.INT,
+            bitstring_type,
+            length=len(orbs_a) + len(orbs_b),
+        )
+
+    return convert_bitstring_type(
+        strings_a,
+        BitstringType.INT,
+        bitstring_type,
+        length=len(orbs_a),
+    ), convert_bitstring_type(
+        strings_b,
+        BitstringType.INT,
+        bitstring_type,
+        length=len(orbs_b),
+    )

+
+
+
+def _sample_slater_spinless(
+    rdm: np.ndarray,
+    nelec: int,
+    shots: int,
+    seed: np.random.Generator | int | None = None,
+) -> list[int]:
+    """Collect samples of electronic configurations from a Slater determinant.
+
+    The Slater determinant is defined by its one-body reduced density matrix (RDM).
+    The sampler uses a determinantal point process to auto-regressively produce
+    uncorrelated samples.
+
+    Args:
+        rdm: The one-body reduced density matrix that defines the Slater determinant.
+        shots: Number of samples to collect.
+        seed: A seed to initialize the pseudorandom number generator.
+            Should be a valid input to ``np.random.default_rng``.
+
+    Returns:
+        The sampled bitstrings in integer format.
+    """
+    norb, _ = rdm.shape
+
+    if nelec == 0:
+        return [0] * shots
+
+    if nelec == norb:
+        return [(1 << norb) - 1] * shots
+
+    rng = np.random.default_rng(seed)
+    samples = [_autoregressive_slater(rdm, norb, nelec, rng) for _ in range(shots)]
+    return [sum(1 << orb for orb in sample) for sample in samples]
+
+
+def _autoregressive_slater(
+    rdm: np.ndarray,
+    norb: int,
+    nelec: int,
+    seed: np.random.Generator | int | None = None,
+) -> set[int]:
+    """Autoregressively sample occupied orbitals for a Slater determinant.
+
+    Args:
+        rdm: The one-body reduced density matrix.
+        norb: The number of orbitals.
+        nelec: The number of electrons.
+        seed: A seed to initialize the pseudorandom number generator.
+            Should be a valid input to ``np.random.default_rng``.
+
+    Returns:
+        A set containing the occupied orbitals.
+    """
+    rng = np.random.default_rng(seed)
+    orb = rng.choice(norb, p=np.diag(rdm).real / nelec)
+    sample = {orb}
+    for i in range(nelec - 1):
+        index = rng.choice(norb - 1 - i, p=_generate_probs(rdm, sample, norb))
+        empty_orbitals = (orb for orb in range(norb) if orb not in sample)
+        sample.add(next(itertools.islice(empty_orbitals, index, None)))
+    return sample
+
+
+def _generate_probs(rdm: np.ndarray, sample: set[int], norb: int) -> np.ndarray:
+    """Computes the probabilities for the next occupied orbital.
+
+    This is a step of the autoregressive sampling, and uses Bayes's rule.
+
+    Args:
+        rdm: A Numpy array with the one-body reduced density matrix.
+        sample: The list of already occupied orbitals.
+        norb: The number of orbitals.
+
+    Returns:
+        The probabilities for the next empty orbital to occupy.
+    """
+    probs = np.zeros(norb - len(sample))
+    empty_orbitals = (orb for orb in range(norb) if orb not in sample)
+    for i, orb in enumerate(empty_orbitals):
+        indices = list(sample | {orb})
+        probs[i] = np.linalg.det(rdm[indices][:, indices]).real
+    return probs / np.sum(probs)
+

+        

+      

+      

+        
+        

+          
+          
+        

+        

+          

+            

+                Copyright © 2023, IBM
+            

+            Made with Sphinx and @pradyunsg's
+            
+            Furo
+            
+          

+          

+            
+          

+        

+        
+      

+    

+    
+  

+

+    
+    
+    
+    
+    
+
\ No newline at end of file
diff --git a/_modules/ffsim/states/slater.html b/_modules/ffsim/states/slater.html
index ab591cc10..8f0aed2fb 100644
--- a/_modules/ffsim/states/slater.html
+++ b/_modules/ffsim/states/slater.html
@@ -4,8 +4,8 @@
     
     
 
-    
-        ffsim.states.slater - ffsim 0.0.47
+    
+        ffsim.states.slater - ffsim 0.0.48
       
     
     
@@ -158,7 +158,7 @@
       
     

     

-      
ffsim 0.0.47

+      
ffsim 0.0.48

     

     

       

@@ -182,7 +182,7 @@
       

   
   
-  ffsim 0.0.47
+  ffsim 0.0.48
   
 
 
@@ -278,208 +278,369 @@ 
Source code for ffsim.states.slater
 
 from __future__ import annotations
 
-import itertools
 from collections.abc import Sequence
-from typing import cast
+from typing import cast, overload
 
 import numpy as np
+import scipy.linalg
+from pyscf.fci import cistring
+from typing_extensions import deprecated
 
+from ffsim import linalg
+from ffsim.gates.orbital_rotation import apply_orbital_rotation
 from ffsim.states.bitstring import (
-    BitstringType,
-    concatenate_bitstrings,
-    convert_bitstring_type,
-    restrict_bitstrings,
+    bitstring_to_occupied_orbitals,
 )
+from ffsim.states.states import dims
 
 
-

-[docs]
-def sample_slater_determinant(
-    rdm: np.ndarray | tuple[np.ndarray, np.ndarray],
+@overload
+def slater_determinant(
     norb: int,
-    nelec: int | tuple[int, int],
-    *,
-    orbs: Sequence[int] | tuple[Sequence[int], Sequence[int]] | None = None,
-    shots: int = 1,
-    concatenate: bool = True,
-    bitstring_type: BitstringType = BitstringType.STRING,
-    seed: np.random.Generator | int | None = None,
-) -> Sequence[int] | Sequence[str] | np.ndarray:
-    """Collect samples of electronic configurations from a Slater determinant.
+    occupied_orbitals: Sequence[int],
+    orbital_rotation: np.ndarray | None = None,
+) -> np.ndarray: ...
+@overload
+def slater_determinant(
+    norb: int,
+    occupied_orbitals: tuple[Sequence[int], Sequence[int]],
+    orbital_rotation: np.ndarray
+    | tuple[np.ndarray | None, np.ndarray | None]
+    | None = None,
+) -> np.ndarray: ...
+

+[docs]
+def slater_determinant(
+    norb: int,
+    occupied_orbitals: Sequence[int] | tuple[Sequence[int], Sequence[int]],
+    orbital_rotation: np.ndarray
+    | tuple[np.ndarray | None, np.ndarray | None]
+    | None = None,
+) -> np.ndarray:
+    r"""Return a Slater determinant.
+
+    A Slater determinant is a state of the form
+
+    .. math::
+
+        \mathcal{U} \lvert x \rangle,
+
+    where :math:`\mathcal{U}` is an
+    :doc:`orbital rotation </explanations/orbital-rotation>` and
+    :math:`\lvert x \rangle` is an electronic configuration.
+
+    Args:
+        norb: The number of spatial orbitals.
+        occupied_orbitals: The occupied orbitals in the electronic configuration.
+            This is either a list of integers specifying spinless orbitals, or a
+            pair of lists, where the first list specifies the spin alpha orbitals and
+            the second list specifies the spin beta orbitals.
+        orbital_rotation: The optional orbital rotation.
+            You can pass either a single Numpy array specifying the orbital rotation
+            to apply to both spin sectors, or you can pass a pair of Numpy arrays
+            specifying independent orbital rotations for spin alpha and spin beta.
+            If passing a pair, you can use ``None`` for one of the
+            values in the pair to indicate that no operation should be applied to
+            that spin sector.
+
+    Returns:
+        The Slater determinant as a state vector.
+    """
+    if norb == 0:
+        return np.ones(1, dtype=complex)
+
+    if not occupied_orbitals or isinstance(occupied_orbitals[0], (int, np.integer)):
+        occupied_orbitals = (cast(Sequence[int], occupied_orbitals), [])
+
+    alpha_orbitals, beta_orbitals = cast(
+        tuple[Sequence[int], Sequence[int]], occupied_orbitals
+    )
+    n_alpha = len(alpha_orbitals)
+    n_beta = len(beta_orbitals)
+    nelec = (n_alpha, n_beta)
+    dim1, dim2 = dims(norb, nelec)
+    alpha_bits = np.zeros(norb, dtype=bool)
+    alpha_bits[list(alpha_orbitals)] = 1
+    alpha_string = int("".join("1" if b else "0" for b in alpha_bits[::-1]), base=2)
+    alpha_index = cistring.str2addr(norb, n_alpha, alpha_string)
+    beta_bits = np.zeros(norb, dtype=bool)
+    beta_bits[list(beta_orbitals)] = 1
+    beta_string = int("".join("1" if b else "0" for b in beta_bits[::-1]), base=2)
+    beta_index = cistring.str2addr(norb, n_beta, beta_string)
+    vec = linalg.one_hot(
+        (dim1, dim2), (alpha_index, beta_index), dtype=complex
+    ).reshape(-1)
+    if orbital_rotation is not None:
+        vec = apply_orbital_rotation(
+            vec, orbital_rotation, norb=norb, nelec=nelec, copy=False
+        )
+    return vec

+
 
-    The Slater determinant is defined by its one-body reduced density matrix (RDM).
-    The sampler uses a determinantal point process to auto-regressively produce
-    uncorrelated samples.
 
-    This sampling strategy is known as
-    `determinantal point processes <https://arxiv.org/abs/1207.6083>`
+

+[docs]
+def hartree_fock_state(norb: int, nelec: int | tuple[int, int]) -> np.ndarray:
+    """Return the Hartree-Fock state.
 
     Args:
-        rdm: The one-body reduced density matrix that defines the Slater determinant
-            This is either a single Numpy array specifying the 1-RDM of a
-            spin-polarized system, or a pair of Numpy arrays where each element
-            of the pair contains the 1-RDM for each spin sector.
         norb: The number of spatial orbitals.
         nelec: Either a single integer representing the number of fermions for a
             spinless system, or a pair of integers storing the numbers of spin alpha
             and spin beta fermions.
-        shots: The number of bitstrings to sample.
-        concatenate: Whether to concatenate the spin-alpha and spin-beta parts of the
-            bitstrings. If True, then a single list of concatenated bitstrings is
-            returned. The strings are concatenated in the order :math:`s_b s_a`,
-            that is, the alpha string appears on the right.
-            If False, then two lists are returned, ``(strings_a, strings_b)``. Note that
-            the list of alpha strings appears first, that is, on the left.
-            In the spinless case (when `nelec` is an integer), this argument is ignored.
-        bitstring_type: The desired type of bitstring output.
-        seed: A seed to initialize the pseudorandom number generator.
-            Should be a valid input to ``np.random.default_rng``.
 
     Returns:
-        A 2D Numpy array with samples of electronic configurations.
-        Each row is a sample.
+        The Hartree-Fock state as a state vector.
     """
-    rng = np.random.default_rng(seed)
-
     if isinstance(nelec, int):
-        # Spinless case
-        rdm = cast(np.ndarray, rdm)
-        norb, _ = rdm.shape
-        if orbs is None:
-            orbs = range(norb)
-        orbs = cast(Sequence[int], orbs)
-        strings = _sample_slater_spinless(rdm, nelec, shots, rng)
-        strings = restrict_bitstrings(strings, orbs, bitstring_type=BitstringType.INT)
-        return convert_bitstring_type(
-            strings,
-            BitstringType.INT,
-            bitstring_type,
-            length=len(orbs),
-        )
+        return slater_determinant(norb, occupied_orbitals=range(nelec))
 
-    # Spinful case
-    rdm_a, rdm_b = rdm
-    n_a, n_b = nelec
-    norb, _ = rdm_a.shape
-    if orbs is None:
-        orbs = (range(norb), range(norb))
-    orbs_a, orbs_b = orbs
-    orbs_a = cast(Sequence[int], orbs_a)
-    orbs_b = cast(Sequence[int], orbs_b)
-    strings_a = _sample_slater_spinless(rdm_a, n_a, shots, rng)
-    strings_b = _sample_slater_spinless(rdm_b, n_b, shots, rng)
-    strings_a = restrict_bitstrings(strings_a, orbs_a, bitstring_type=BitstringType.INT)
-    strings_b = restrict_bitstrings(strings_b, orbs_b, bitstring_type=BitstringType.INT)
-
-    if concatenate:
-        strings = concatenate_bitstrings(
-            strings_a,
-            strings_b,
-            BitstringType.INT,
-            length=len(orbs_a),
-        )
-        return convert_bitstring_type(
-            strings,
-            BitstringType.INT,
-            bitstring_type,
-            length=len(orbs_a) + len(orbs_b),
-        )
+    n_alpha, n_beta = nelec
+    return slater_determinant(norb, occupied_orbitals=(range(n_alpha), range(n_beta)))

 
-    return convert_bitstring_type(
-        strings_a,
-        BitstringType.INT,
-        bitstring_type,
-        length=len(orbs_a),
-    ), convert_bitstring_type(
-        strings_b,
-        BitstringType.INT,
-        bitstring_type,
-        length=len(orbs_b),
-    )

 
 
+

+[docs]
+@deprecated(
+    "ffsim.slater_determinant_rdm is deprecated. "
+    "Instead, use ffsim.slater_determinant_rdms."
+)
+def slater_determinant_rdm(
+    norb: int,
+    occupied_orbitals: tuple[Sequence[int], Sequence[int]],
+    orbital_rotation: np.ndarray
+    | tuple[np.ndarray | None, np.ndarray | None]
+    | None = None,
+    rank: int = 1,
+    spin_summed: bool = True,
+) -> np.ndarray:
+    """Return the reduced density matrix of a `Slater determinant`_.
 
-def _sample_slater_spinless(
-    rdm: np.ndarray,
-    nelec: int,
-    shots: int,
-    seed: np.random.Generator | int | None = None,
-) -> list[int]:
-    """Collect samples of electronic configurations from a Slater determinant.
+    .. warning::
+        This function is deprecated. Use :func:`ffsim.slater_determinant_rdms` instead.
 
-    The Slater determinant is defined by its one-body reduced density matrix (RDM).
-    The sampler uses a determinantal point process to auto-regressively produce
-    uncorrelated samples.
+    Note:
+        Currently, only rank 1 is supported.
 
     Args:
-        rdm: The one-body reduced density matrix that defines the Slater determinant.
-        shots: Number of samples to collect.
-        seed: A seed to initialize the pseudorandom number generator.
-            Should be a valid input to ``np.random.default_rng``.
+        norb: The number of spatial orbitals.
+        occupied_orbitals: The occupied orbitals in the electronic configuration.
+            This is a pair of lists of integers, where the first list specifies the
+            spin alpha orbitals and the second list specifies the spin beta
+            orbitals.
+        orbital_rotation: The optional orbital rotation.
+            You can pass either a single Numpy array specifying the orbital rotation
+            to apply to both spin sectors, or you can pass a pair of Numpy arrays
+            specifying independent orbital rotations for spin alpha and spin beta.
+            If passing a pair, you can use ``None`` for one of the
+            values in the pair to indicate that no operation should be applied to that
+            spin sector.
+        rank: The rank of the reduced density matrix. I.e., rank 1 corresponds to the
+            one-particle RDM, rank 2 corresponds to the 2-particle RDM, etc.
+        spin_summed: Whether to sum over the spin index.
 
     Returns:
-        The sampled bitstrings in integer format.
-    """
-    norb, _ = rdm.shape
-
-    if nelec == 0:
-        return [0] * shots
+        The reduced density matrix of the Slater determinant.
 
-    if nelec == norb:
-        return [(1 << norb) - 1] * shots
+    .. _Slater determinant: ffsim.html#ffsim.slater_determinant
+    """
+    if rank == 1:
+        rdm_a = np.zeros((norb, norb), dtype=complex)
+        rdm_b = np.zeros((norb, norb), dtype=complex)
+        alpha_orbitals = np.array(occupied_orbitals[0])
+        beta_orbitals = np.array(occupied_orbitals[1])
+        if len(alpha_orbitals):
+            rdm_a[(alpha_orbitals, alpha_orbitals)] = 1
+        if len(beta_orbitals):
+            rdm_b[(beta_orbitals, beta_orbitals)] = 1
+        if orbital_rotation is not None:
+            if isinstance(orbital_rotation, np.ndarray):
+                orbital_rotation_a: np.ndarray | None = orbital_rotation
+                orbital_rotation_b: np.ndarray | None = orbital_rotation
+            else:
+                orbital_rotation_a, orbital_rotation_b = orbital_rotation
+            if orbital_rotation_a is not None:
+                rdm_a = orbital_rotation_a.conj() @ rdm_a @ orbital_rotation_a.T
+            if orbital_rotation_b is not None:
+                rdm_b = orbital_rotation_b.conj() @ rdm_b @ orbital_rotation_b.T
+        if spin_summed:
+            return rdm_a + rdm_b
+        return scipy.linalg.block_diag(rdm_a, rdm_b)
+    raise NotImplementedError(
+        f"Returning the rank {rank} reduced density matrix is currently not supported."
+    )

 
-    rng = np.random.default_rng(seed)
-    samples = [_autoregressive_slater(rdm, norb, nelec, rng) for _ in range(shots)]
-    return [sum(1 << orb for orb in sample) for sample in samples]
 
 
-def _autoregressive_slater(
-    rdm: np.ndarray,
+@overload
+def slater_determinant_rdms(
+    norb: int,
+    occupied_orbitals: Sequence[int],
+    orbital_rotation: np.ndarray | None = None,
+    *,
+    rank: int = 1,
+) -> np.ndarray: ...
+@overload
+def slater_determinant_rdms(
+    norb: int,
+    occupied_orbitals: tuple[Sequence[int], Sequence[int]],
+    orbital_rotation: np.ndarray
+    | tuple[np.ndarray | None, np.ndarray | None]
+    | None = None,
+    *,
+    rank: int = 1,
+) -> np.ndarray: ...
+

+[docs]
+def slater_determinant_rdms(
     norb: int,
-    nelec: int,
-    seed: np.random.Generator | int | None = None,
-) -> set[int]:
-    """Autoregressively sample occupied orbitals for a Slater determinant.
+    occupied_orbitals: Sequence[int] | tuple[Sequence[int], Sequence[int]],
+    orbital_rotation: np.ndarray
+    | tuple[np.ndarray | None, np.ndarray | None]
+    | None = None,
+    *,
+    rank: int = 1,
+) -> np.ndarray:
+    """Return the reduced density matrices of a `Slater determinant`_.
+
+    Note:
+        Currently, only rank 1 is supported.
 
     Args:
-        rdm: The one-body reduced density matrix.
-        norb: The number of orbitals.
-        nelec: The number of electrons.
-        seed: A seed to initialize the pseudorandom number generator.
-            Should be a valid input to ``np.random.default_rng``.
+        norb: The number of spatial orbitals.
+        occupied_orbitals: The occupied orbitals in the electronic configuration.
+            This is either a list of integers specifying spinless orbitals, or a
+            pair of lists, where the first list specifies the spin alpha orbitals and
+            the second list specifies the spin beta orbitals.
+        orbital_rotation: The optional orbital rotation.
+            You can pass either a single Numpy array specifying the orbital rotation
+            to apply to both spin sectors, or you can pass a pair of Numpy arrays
+            specifying independent orbital rotations for spin alpha and spin beta.
+            If passing a pair, you can use ``None`` for one of the
+            values in the pair to indicate that no operation should be applied to
+            that spin sector.
+        rank: The rank of the reduced density matrix. I.e., rank 1 corresponds to the
+            one-particle RDM, rank 2 corresponds to the 2-particle RDM, etc.
 
     Returns:
-        A set containing the occupied orbitals.
+        The reduced density matrices of the Slater determinant.
+        All RDMs up to and including the specified rank are returned, in increasing
+        order of rank. For example, if `rank=2` then a tuple `(rdm1, rdm2)` is returned.
+        The representation of an RDM depends on whether `occupied_orbitals` is a
+        sequence of integers (spinless case), or a pair of such sequences
+        (spinful case). In the spinless case, the full RDM is returned.
+        In the spinful case, each RDM is represented as a stacked Numpy
+        array of sub-RDMs. For example, the 1-RDMs are: (alpha-alpha, alpha-beta), and
+        the 2-RDMs are: (alpha-alpha, alpha-beta, beta-beta).
+
+    .. _Slater determinant: ffsim.html#ffsim.slater_determinant
     """
-    rng = np.random.default_rng(seed)
-    orb = rng.choice(norb, p=np.diag(rdm).real / nelec)
-    sample = {orb}
-    for i in range(nelec - 1):
-        index = rng.choice(norb - 1 - i, p=_generate_probs(rdm, sample, norb))
-        empty_orbitals = (orb for orb in range(norb) if orb not in sample)
-        sample.add(next(itertools.islice(empty_orbitals, index, None)))
-    return sample
-
-
-def _generate_probs(rdm: np.ndarray, sample: set[int], norb: int) -> np.ndarray:
-    """Computes the probabilities for the next occupied orbital.
-
-    This is a step of the autoregressive sampling, and uses Bayes's rule.
+    if not occupied_orbitals or isinstance(occupied_orbitals[0], (int, np.integer)):
+        # Spinless case
+        occupied_orbitals = list(cast(Sequence[int], occupied_orbitals))
+        if rank == 1:
+            rdm = np.zeros((norb, norb), dtype=complex)
+            if occupied_orbitals:
+                rdm[(occupied_orbitals, occupied_orbitals)] = 1
+            if orbital_rotation is not None:
+                orbital_rotation = cast(np.ndarray, orbital_rotation)
+                rdm = orbital_rotation.conj() @ rdm @ orbital_rotation.T
+            return rdm
+        raise NotImplementedError(
+            f"Returning the rank {rank} reduced density matrix is currently not "
+            "supported."
+        )
+    else:
+        # Spinful case
+        alpha_orbitals, beta_orbitals = cast(
+            tuple[Sequence[int], Sequence[int]], occupied_orbitals
+        )
+        alpha_orbitals = list(alpha_orbitals)
+        beta_orbitals = list(beta_orbitals)
+        if rank == 1:
+            rdm_a = np.zeros((norb, norb))
+            rdm_b = np.zeros((norb, norb))
+            if alpha_orbitals:
+                rdm_a[(alpha_orbitals, alpha_orbitals)] = 1
+            if beta_orbitals:
+                rdm_b[(beta_orbitals, beta_orbitals)] = 1
+            if orbital_rotation is not None:
+                if (
+                    isinstance(orbital_rotation, np.ndarray)
+                    and orbital_rotation.ndim == 2
+                ):
+                    orbital_rotation_a: np.ndarray | None = orbital_rotation
+                    orbital_rotation_b: np.ndarray | None = orbital_rotation
+                else:
+                    orbital_rotation_a, orbital_rotation_b = orbital_rotation
+                if orbital_rotation_a is not None:
+                    rdm_a = orbital_rotation_a.conj() @ rdm_a @ orbital_rotation_a.T
+                if orbital_rotation_b is not None:
+                    rdm_b = orbital_rotation_b.conj() @ rdm_b @ orbital_rotation_b.T
+            return np.stack([rdm_a, rdm_b])
+        raise NotImplementedError(
+            f"Returning the rank {rank} reduced density matrix is currently not "
+            "supported."
+        )

+
+
+
+

+[docs]
+def slater_determinant_amplitudes(
+    bitstrings: Sequence[int] | tuple[Sequence[int], Sequence[int]],
+    norb: int,
+    occupied_orbitals: Sequence[int] | tuple[Sequence[int], Sequence[int]],
+    orbital_rotation: np.ndarray | tuple[np.ndarray, np.ndarray],
+) -> np.ndarray:
+    """Compute state vector amplitudes for a Slater determinant.
 
     Args:
-        rdm: A Numpy array with the one-body reduced density matrix.
-        sample: The list of already occupied orbitals.
-        norb: The number of orbitals.
+        bitstrings: The bitstrings to return the amplitudes for, in integer
+            representation. In the spinless case this is a list of integers. In the
+            spinful case, this is a pair of lists of equal length specifying the
+            alpha and beta parts of the bitstrings.
+        norb: The number of spatial orbitals.
+        occupied_orbitals: The occupied orbitals in the electronic configuration.
+            This is either a list of integers specifying spinless orbitals, or a
+            pair of lists, where the first list specifies the spin alpha orbitals and
+            the second list specifies the spin beta orbitals.
+        orbital_rotation: The orbital rotation describing the Slater determinant.
+            You can pass either a single Numpy array specifying the orbital rotation
+            to apply to both spin sectors, or you can pass a pair of Numpy arrays
+            specifying independent orbital rotations for spin alpha and spin beta.
 
     Returns:
-        The probabilities for the next empty orbital to occupy.
+        The amplitudes of the requested bitstrings.
     """
-    probs = np.zeros(norb - len(sample))
-    empty_orbitals = (orb for orb in range(norb) if orb not in sample)
-    for i, orb in enumerate(empty_orbitals):
-        indices = list(sample | {orb})
-        probs[i] = np.linalg.det(rdm[indices][:, indices]).real
-    return probs / np.sum(probs)
+    if not occupied_orbitals or isinstance(occupied_orbitals[0], (int, np.integer)):
+        # Spinless case
+        vecs = cast(np.ndarray, orbital_rotation)[:, occupied_orbitals]
+        amplitudes = []
+        for bitstring in cast(Sequence[int], bitstrings):
+            orbs = bitstring_to_occupied_orbitals(bitstring)
+            amplitudes.append(scipy.linalg.det(vecs[orbs]))
+        return np.array(amplitudes)
+
+    # Spinful case
+    occupied_orbitals_a, occupied_orbitals_b = cast(
+        tuple[Sequence[int], Sequence[int]], occupied_orbitals
+    )
+    bitstrings_a, bitstrings_b = cast(tuple[Sequence[int], Sequence[int]], bitstrings)
+    if isinstance(orbital_rotation, np.ndarray) and orbital_rotation.ndim == 2:
+        orbital_rotation_a = orbital_rotation
+        orbital_rotation_b = orbital_rotation
+    else:
+        orbital_rotation_a, orbital_rotation_b = orbital_rotation
+    amplitudes_a = slater_determinant_amplitudes(
+        bitstrings_a, norb, occupied_orbitals_a, orbital_rotation_a
+    )
+    amplitudes_b = slater_determinant_amplitudes(
+        bitstrings_b, norb, occupied_orbitals_b, orbital_rotation_b
+    )
+    return amplitudes_a * amplitudes_b

+
 

         
       

@@ -512,7 +673,7 @@ 
Source code for ffsim.states.slater
       
     
   

-

+

     
     
     
diff --git a/_modules/ffsim/states/states.html b/_modules/ffsim/states/states.html
index 5910e3b6e..9a7d3e23c 100644
--- a/_modules/ffsim/states/states.html
+++ b/_modules/ffsim/states/states.html
@@ -4,8 +4,8 @@
     
     
 
-    
-        ffsim.states.states - ffsim 0.0.47
+    
+        ffsim.states.states - ffsim 0.0.48
       
     
     
@@ -158,7 +158,7 @@
       
     

     

-      
ffsim 0.0.47

+      
ffsim 0.0.48

     

     

       

@@ -182,7 +182,7 @@
       

   
   
-  ffsim 0.0.47
+  ffsim 0.0.48
   
 
 
@@ -281,16 +281,12 @@ 
Source code for ffsim.states.states
 import math
 from collections.abc import Sequence
 from dataclasses import dataclass
-from typing import Optional, cast, overload
+from typing import Optional, cast
 
 import numpy as np
-import scipy.linalg
-from pyscf.fci import cistring
 from pyscf.fci.spin_op import contract_ss
 from typing_extensions import deprecated
 
-from ffsim import linalg
-from ffsim.gates.orbital_rotation import apply_orbital_rotation
 from ffsim.states.bitstring import (
     BitstringType,
     addresses_to_strings,
@@ -397,298 +393,6 @@ 
Source code for ffsim.states.states
 
 
 
-@overload
-def slater_determinant(
-    norb: int,
-    occupied_orbitals: Sequence[int],
-    orbital_rotation: np.ndarray | None = None,
-) -> np.ndarray: ...
-@overload
-def slater_determinant(
-    norb: int,
-    occupied_orbitals: tuple[Sequence[int], Sequence[int]],
-    orbital_rotation: np.ndarray
-    | tuple[np.ndarray | None, np.ndarray | None]
-    | None = None,
-) -> np.ndarray: ...
-

-[docs]
-def slater_determinant(
-    norb: int,
-    occupied_orbitals: Sequence[int] | tuple[Sequence[int], Sequence[int]],
-    orbital_rotation: np.ndarray
-    | tuple[np.ndarray | None, np.ndarray | None]
-    | None = None,
-) -> np.ndarray:
-    r"""Return a Slater determinant.
-
-    A Slater determinant is a state of the form
-
-    .. math::
-
-        \mathcal{U} \lvert x \rangle,
-
-    where :math:`\mathcal{U}` is an
-    :doc:`orbital rotation </explanations/orbital-rotation>` and
-    :math:`\lvert x \rangle` is an electronic configuration.
-
-    Args:
-        norb: The number of spatial orbitals.
-        occupied_orbitals: The occupied orbitals in the electronic configuration.
-            This is either a list of integers specifying spinless orbitals, or a
-            pair of lists, where the first list specifies the spin alpha orbitals and
-            the second list specifies the spin beta orbitals.
-        orbital_rotation: The optional orbital rotation.
-            You can pass either a single Numpy array specifying the orbital rotation
-            to apply to both spin sectors, or you can pass a pair of Numpy arrays
-            specifying independent orbital rotations for spin alpha and spin beta.
-            If passing a pair, you can use ``None`` for one of the
-            values in the pair to indicate that no operation should be applied to
-            that spin sector.
-
-    Returns:
-        The Slater determinant as a state vector.
-    """
-    if norb == 0:
-        return np.ones(1, dtype=complex)
-
-    if not occupied_orbitals or isinstance(occupied_orbitals[0], (int, np.integer)):
-        occupied_orbitals = (cast(Sequence[int], occupied_orbitals), [])
-
-    alpha_orbitals, beta_orbitals = cast(
-        tuple[Sequence[int], Sequence[int]], occupied_orbitals
-    )
-    n_alpha = len(alpha_orbitals)
-    n_beta = len(beta_orbitals)
-    nelec = (n_alpha, n_beta)
-    dim1, dim2 = dims(norb, nelec)
-    alpha_bits = np.zeros(norb, dtype=bool)
-    alpha_bits[list(alpha_orbitals)] = 1
-    alpha_string = int("".join("1" if b else "0" for b in alpha_bits[::-1]), base=2)
-    alpha_index = cistring.str2addr(norb, n_alpha, alpha_string)
-    beta_bits = np.zeros(norb, dtype=bool)
-    beta_bits[list(beta_orbitals)] = 1
-    beta_string = int("".join("1" if b else "0" for b in beta_bits[::-1]), base=2)
-    beta_index = cistring.str2addr(norb, n_beta, beta_string)
-    vec = linalg.one_hot(
-        (dim1, dim2), (alpha_index, beta_index), dtype=complex
-    ).reshape(-1)
-    if orbital_rotation is not None:
-        vec = apply_orbital_rotation(
-            vec, orbital_rotation, norb=norb, nelec=nelec, copy=False
-        )
-    return vec

-
-
-
-

-[docs]
-def hartree_fock_state(norb: int, nelec: int | tuple[int, int]) -> np.ndarray:
-    """Return the Hartree-Fock state.
-
-    Args:
-        norb: The number of spatial orbitals.
-        nelec: Either a single integer representing the number of fermions for a
-            spinless system, or a pair of integers storing the numbers of spin alpha
-            and spin beta fermions.
-
-    Returns:
-        The Hartree-Fock state as a state vector.
-    """
-    if isinstance(nelec, int):
-        return slater_determinant(norb, occupied_orbitals=range(nelec))
-
-    n_alpha, n_beta = nelec
-    return slater_determinant(norb, occupied_orbitals=(range(n_alpha), range(n_beta)))

-
-
-
-

-[docs]
-@deprecated(
-    "ffsim.slater_determinant_rdm is deprecated. "
-    "Instead, use ffsim.slater_determinant_rdms."
-)
-def slater_determinant_rdm(
-    norb: int,
-    occupied_orbitals: tuple[Sequence[int], Sequence[int]],
-    orbital_rotation: np.ndarray
-    | tuple[np.ndarray | None, np.ndarray | None]
-    | None = None,
-    rank: int = 1,
-    spin_summed: bool = True,
-) -> np.ndarray:
-    """Return the reduced density matrix of a `Slater determinant`_.
-
-    .. warning::
-        This function is deprecated. Use :func:`ffsim.slater_determinant_rdms` instead.
-
-    Note:
-        Currently, only rank 1 is supported.
-
-    Args:
-        norb: The number of spatial orbitals.
-        occupied_orbitals: The occupied orbitals in the electronic configuration.
-            This is a pair of lists of integers, where the first list specifies the
-            spin alpha orbitals and the second list specifies the spin beta
-            orbitals.
-        orbital_rotation: The optional orbital rotation.
-            You can pass either a single Numpy array specifying the orbital rotation
-            to apply to both spin sectors, or you can pass a pair of Numpy arrays
-            specifying independent orbital rotations for spin alpha and spin beta.
-            If passing a pair, you can use ``None`` for one of the
-            values in the pair to indicate that no operation should be applied to that
-            spin sector.
-        rank: The rank of the reduced density matrix. I.e., rank 1 corresponds to the
-            one-particle RDM, rank 2 corresponds to the 2-particle RDM, etc.
-        spin_summed: Whether to sum over the spin index.
-
-    Returns:
-        The reduced density matrix of the Slater determinant.
-
-    .. _Slater determinant: ffsim.html#ffsim.slater_determinant
-    """
-    if rank == 1:
-        rdm_a = np.zeros((norb, norb), dtype=complex)
-        rdm_b = np.zeros((norb, norb), dtype=complex)
-        alpha_orbitals = np.array(occupied_orbitals[0])
-        beta_orbitals = np.array(occupied_orbitals[1])
-        if len(alpha_orbitals):
-            rdm_a[(alpha_orbitals, alpha_orbitals)] = 1
-        if len(beta_orbitals):
-            rdm_b[(beta_orbitals, beta_orbitals)] = 1
-        if orbital_rotation is not None:
-            if isinstance(orbital_rotation, np.ndarray):
-                orbital_rotation_a: np.ndarray | None = orbital_rotation
-                orbital_rotation_b: np.ndarray | None = orbital_rotation
-            else:
-                orbital_rotation_a, orbital_rotation_b = orbital_rotation
-            if orbital_rotation_a is not None:
-                rdm_a = orbital_rotation_a.conj() @ rdm_a @ orbital_rotation_a.T
-            if orbital_rotation_b is not None:
-                rdm_b = orbital_rotation_b.conj() @ rdm_b @ orbital_rotation_b.T
-        if spin_summed:
-            return rdm_a + rdm_b
-        return scipy.linalg.block_diag(rdm_a, rdm_b)
-    raise NotImplementedError(
-        f"Returning the rank {rank} reduced density matrix is currently not supported."
-    )

-
-
-
-@overload
-def slater_determinant_rdms(
-    norb: int,
-    occupied_orbitals: Sequence[int],
-    orbital_rotation: np.ndarray | None = None,
-    *,
-    rank: int = 1,
-) -> np.ndarray: ...
-@overload
-def slater_determinant_rdms(
-    norb: int,
-    occupied_orbitals: tuple[Sequence[int], Sequence[int]],
-    orbital_rotation: np.ndarray
-    | tuple[np.ndarray | None, np.ndarray | None]
-    | None = None,
-    *,
-    rank: int = 1,
-) -> np.ndarray: ...
-

-[docs]
-def slater_determinant_rdms(
-    norb: int,
-    occupied_orbitals: Sequence[int] | tuple[Sequence[int], Sequence[int]],
-    orbital_rotation: np.ndarray
-    | tuple[np.ndarray | None, np.ndarray | None]
-    | None = None,
-    *,
-    rank: int = 1,
-) -> np.ndarray:
-    """Return the reduced density matrices of a `Slater determinant`_.
-
-    Note:
-        Currently, only rank 1 is supported.
-
-    Args:
-        norb: The number of spatial orbitals.
-        occupied_orbitals: The occupied orbitals in the electronic configuration.
-            This is either a list of integers specifying spinless orbitals, or a
-            pair of lists, where the first list specifies the spin alpha orbitals and
-            the second list specifies the spin beta orbitals.
-        orbital_rotation: The optional orbital rotation.
-            You can pass either a single Numpy array specifying the orbital rotation
-            to apply to both spin sectors, or you can pass a pair of Numpy arrays
-            specifying independent orbital rotations for spin alpha and spin beta.
-            If passing a pair, you can use ``None`` for one of the
-            values in the pair to indicate that no operation should be applied to
-            that spin sector.
-        rank: The rank of the reduced density matrix. I.e., rank 1 corresponds to the
-            one-particle RDM, rank 2 corresponds to the 2-particle RDM, etc.
-
-    Returns:
-        The reduced density matrices of the Slater determinant.
-        All RDMs up to and including the specified rank are returned, in increasing
-        order of rank. For example, if `rank=2` then a tuple `(rdm1, rdm2)` is returned.
-        The representation of an RDM depends on whether `occupied_orbitals` is a
-        sequence of integers (spinless case), or a pair of such sequences
-        (spinful case). In the spinless case, the full RDM is returned.
-        In the spinful case, each RDM is represented as a stacked Numpy
-        array of sub-RDMs. For example, the 1-RDMs are: (alpha-alpha, alpha-beta), and
-        the 2-RDMs are: (alpha-alpha, alpha-beta, beta-beta).
-
-    .. _Slater determinant: ffsim.html#ffsim.slater_determinant
-    """
-    if not occupied_orbitals or isinstance(occupied_orbitals[0], (int, np.integer)):
-        # Spinless case
-        occupied_orbitals = list(cast(Sequence[int], occupied_orbitals))
-        if rank == 1:
-            rdm = np.zeros((norb, norb), dtype=complex)
-            if occupied_orbitals:
-                rdm[(occupied_orbitals, occupied_orbitals)] = 1
-            if orbital_rotation is not None:
-                orbital_rotation = cast(np.ndarray, orbital_rotation)
-                rdm = orbital_rotation.conj() @ rdm @ orbital_rotation.T
-            return rdm
-        raise NotImplementedError(
-            f"Returning the rank {rank} reduced density matrix is currently not "
-            "supported."
-        )
-    else:
-        # Spinful case
-        alpha_orbitals, beta_orbitals = cast(
-            tuple[Sequence[int], Sequence[int]], occupied_orbitals
-        )
-        alpha_orbitals = list(alpha_orbitals)
-        beta_orbitals = list(beta_orbitals)
-        if rank == 1:
-            rdm_a = np.zeros((norb, norb))
-            rdm_b = np.zeros((norb, norb))
-            if alpha_orbitals:
-                rdm_a[(alpha_orbitals, alpha_orbitals)] = 1
-            if beta_orbitals:
-                rdm_b[(beta_orbitals, beta_orbitals)] = 1
-            if orbital_rotation is not None:
-                if (
-                    isinstance(orbital_rotation, np.ndarray)
-                    and orbital_rotation.ndim == 2
-                ):
-                    orbital_rotation_a: np.ndarray | None = orbital_rotation
-                    orbital_rotation_b: np.ndarray | None = orbital_rotation
-                else:
-                    orbital_rotation_a, orbital_rotation_b = orbital_rotation
-                if orbital_rotation_a is not None:
-                    rdm_a = orbital_rotation_a.conj() @ rdm_a @ orbital_rotation_a.T
-                if orbital_rotation_b is not None:
-                    rdm_b = orbital_rotation_b.conj() @ rdm_b @ orbital_rotation_b.T
-            return np.stack([rdm_a, rdm_b])
-        raise NotImplementedError(
-            f"Returning the rank {rank} reduced density matrix is currently not "
-            "supported."
-        )

-
-
-
 # source: pyscf.fci.spin_op.spin_square0
 # modified to support complex wavefunction
 

@@ -898,7 +602,7 @@ 
Source code for ffsim.states.states
       
     
   

-

+

     
     
     
diff --git a/_modules/ffsim/states/wick.html b/_modules/ffsim/states/wick.html
index 1ed12f590..d2ca88a76 100644
--- a/_modules/ffsim/states/wick.html
+++ b/_modules/ffsim/states/wick.html
@@ -4,8 +4,8 @@
     
     
 
-    
-        ffsim.states.wick - ffsim 0.0.47
+    
+        ffsim.states.wick - ffsim 0.0.48
       
     
     
@@ -158,7 +158,7 @@
       
     

     

-      
ffsim 0.0.47

+      
ffsim 0.0.48

     

     

       

@@ -182,7 +182,7 @@
       

   
   
-  ffsim 0.0.47
+  ffsim 0.0.48
   
 
 
@@ -434,7 +434,7 @@ 
Source code for ffsim.states.wick
       
     
   

-

+

     
     
     
diff --git a/_modules/ffsim/testing/testing.html b/_modules/ffsim/testing/testing.html
index 334294993..08a8357e8 100644
--- a/_modules/ffsim/testing/testing.html
+++ b/_modules/ffsim/testing/testing.html
@@ -4,8 +4,8 @@
     
     
 
-    
-        ffsim.testing.testing - ffsim 0.0.47
+    
+        ffsim.testing.testing - ffsim 0.0.48
       
     
     
@@ -158,7 +158,7 @@
       
     

     

-      
ffsim 0.0.47

+      
ffsim 0.0.48

     

     

       

@@ -182,7 +182,7 @@
       

   
   
-  ffsim 0.0.47
+  ffsim 0.0.48
   
 
 
@@ -472,7 +472,7 @@ 
Source code for ffsim.testing.testing
       
     
   

-

+

     
     
     
diff --git a/_modules/ffsim/trotter/diagonal_coulomb.html b/_modules/ffsim/trotter/diagonal_coulomb.html
index c10f6ad94..dacff051f 100644
--- a/_modules/ffsim/trotter/diagonal_coulomb.html
+++ b/_modules/ffsim/trotter/diagonal_coulomb.html
@@ -4,8 +4,8 @@
     
     
 
-    
-        ffsim.trotter.diagonal_coulomb - ffsim 0.0.47
+    
+        ffsim.trotter.diagonal_coulomb - ffsim 0.0.48
       
     
     
@@ -158,7 +158,7 @@
       
     

     

-      
ffsim 0.0.47

+      
ffsim 0.0.48

     

     

       

@@ -182,7 +182,7 @@
       

   
   
-  ffsim 0.0.47
+  ffsim 0.0.48
   
 
 
@@ -442,7 +442,7 @@ 
Source code for ffsim.trotter.diagonal_coulomb

   

-

+

     
     
     
diff --git a/_modules/ffsim/trotter/double_factorized.html b/_modules/ffsim/trotter/double_factorized.html
index 8ca63c352..60febfa16 100644
--- a/_modules/ffsim/trotter/double_factorized.html
+++ b/_modules/ffsim/trotter/double_factorized.html
@@ -4,8 +4,8 @@
     
     
 
-    
-        ffsim.trotter.double_factorized - ffsim 0.0.47
+    
+        ffsim.trotter.double_factorized - ffsim 0.0.48
       
     
     
@@ -158,7 +158,7 @@
       
     

     

-      
ffsim 0.0.47

+      
ffsim 0.0.48

     

     

       

@@ -182,7 +182,7 @@
       

   
   
-  ffsim 0.0.47
+  ffsim 0.0.48
   
 
 
@@ -448,7 +448,7 @@ 
Source code for ffsim.trotter.double_factorized
<
       
     
   

-

+

     
     
     
diff --git a/_modules/ffsim/trotter/qdrift.html b/_modules/ffsim/trotter/qdrift.html
index 86bf68708..c4f61fc26 100644
--- a/_modules/ffsim/trotter/qdrift.html
+++ b/_modules/ffsim/trotter/qdrift.html
@@ -4,8 +4,8 @@
     
     
 
-    
-        ffsim.trotter.qdrift - ffsim 0.0.47
+    
+        ffsim.trotter.qdrift - ffsim 0.0.48
       
     
     
@@ -158,7 +158,7 @@
       
     

     

-      
ffsim 0.0.47

+      
ffsim 0.0.48

     

     

       

@@ -182,7 +182,7 @@
       

   
   
-  ffsim 0.0.47
+  ffsim 0.0.48
   
 
 
@@ -914,7 +914,7 @@ 
Source code for ffsim.trotter.qdrift
       
     
   

-

+

     
     
     
diff --git a/_modules/ffsim/variational/givens.html b/_modules/ffsim/variational/givens.html
index 0e69fd6d7..7e699e52a 100644
--- a/_modules/ffsim/variational/givens.html
+++ b/_modules/ffsim/variational/givens.html
@@ -4,8 +4,8 @@
     
     
 
-    
-        ffsim.variational.givens - ffsim 0.0.47
+    
+        ffsim.variational.givens - ffsim 0.0.48
       
     
     
@@ -158,7 +158,7 @@
       
     

     

-      
ffsim 0.0.47

+      
ffsim 0.0.48

     

     

       

@@ -182,7 +182,7 @@
       

   
   
-  ffsim 0.0.47
+  ffsim 0.0.48
   
 
 
@@ -285,91 +285,12 @@ 
Source code for ffsim.variational.givens
 from typing import cast
 
 import numpy as np
-from scipy.linalg.blas import drot
 from scipy.linalg.lapack import zrot
-from typing_extensions import deprecated
 
 from ffsim import linalg
 from ffsim.gates import apply_orbital_rotation
 
 
-

-[docs]
-@dataclass(frozen=True)
-@deprecated("GivensAnsatzOperator is deprecated. Use GivensAnsatzOp instead.")
-class GivensAnsatzOperator:
-    """A Givens rotation ansatz operator.
-
-    .. warning::
-        This class is deprecated. Use :class:`ffsim.GivensAnsatzOp` instead.
-
-    The Givens rotation ansatz consists of a sequence of `Givens rotations`_.
-
-    Note that this ansatz does not implement any interactions between spin alpha and
-    spin beta orbitals.
-
-    Attributes:
-        norb (int): The number of spatial orbitals.
-        interaction_pairs (list[tuple[int, int]]): The orbital pairs to apply the Givens
-            rotations to.
-        thetas (np.ndarray): The angles for the Givens rotations.
-
-    .. _Givens rotations: ffsim.html#ffsim.apply_givens_rotation
-    """
-
-    norb: int
-    interaction_pairs: list[tuple[int, int]]
-    thetas: np.ndarray
-
-    def _apply_unitary_(
-        self, vec: np.ndarray, norb: int, nelec: int | tuple[int, int], copy: bool
-    ) -> np.ndarray:
-        """Apply the operator to a vector."""
-        return apply_orbital_rotation(
-            vec, self.to_orbital_rotation(), norb=norb, nelec=nelec, copy=copy
-        )
-
-

-[docs]
-    def to_parameters(self) -> np.ndarray:
-        """Convert the operator to a real-valued parameter vector."""
-        num_params = len(self.thetas)
-        params = np.zeros(num_params)
-        params[: len(self.thetas)] = self.thetas
-        return params

-
-
-

-[docs]
-    @staticmethod
-    def from_parameters(
-        params: np.ndarray, norb: int, interaction_pairs: list[tuple[int, int]]
-    ) -> GivensAnsatzOperator:
-        """Initialize the operator from a real-valued parameter vector.
-
-        Args:
-            params: The real-valued parameter vector.
-            norb: The number of spatial orbitals.
-            interaction_pairs: The orbital pairs to apply the Givens rotation gates to.
-        """
-        return GivensAnsatzOperator(
-            norb=norb, interaction_pairs=interaction_pairs, thetas=params
-        )

-
-
-    def to_orbital_rotation(self) -> np.ndarray:
-        orbital_rotation = np.eye(self.norb)
-        for (i, j), theta in zip(self.interaction_pairs[::-1], self.thetas[::-1]):
-            orbital_rotation[:, j], orbital_rotation[:, i] = drot(
-                orbital_rotation[:, j],
-                orbital_rotation[:, i],
-                math.cos(theta),
-                math.sin(theta),
-            )
-        return orbital_rotation

-
-
-
 

 [docs]
 @dataclass(frozen=True)
@@ -404,7 +325,7 @@ 
Source code for ffsim.variational.givens
         if len(self.thetas) != len(self.interaction_pairs):
             raise ValueError(
                 "The number of thetas must equal the number of interaction pairs. "
-                f"Got {len(self.phis)} and {len(self.interaction_pairs)}."
+                f"Got {len(self.thetas)} and {len(self.interaction_pairs)}."
             )
         if self.phis is not None and len(self.phis) != len(self.interaction_pairs):
             raise ValueError(
@@ -678,7 +599,7 @@ 
Source code for ffsim.variational.givens
       
     
   

-

+

     
     
     
diff --git a/_modules/ffsim/variational/hopgate.html b/_modules/ffsim/variational/hopgate.html
index a2f665d40..d95355e2b 100644
--- a/_modules/ffsim/variational/hopgate.html
+++ b/_modules/ffsim/variational/hopgate.html
@@ -4,8 +4,8 @@
     
     
 
-    
-        ffsim.variational.hopgate - ffsim 0.0.47
+    
+        ffsim.variational.hopgate - ffsim 0.0.48
       
     
     
@@ -158,7 +158,7 @@
       
     

     

-      
ffsim 0.0.47

+      
ffsim 0.0.48

     

     

       

@@ -182,7 +182,7 @@
       

   
   
-  ffsim 0.0.47
+  ffsim 0.0.48
   
 
 
@@ -280,6 +280,7 @@ 
Source code for ffsim.variational.hopgate
 
 import itertools
 from dataclasses import dataclass
+from typing import cast
 
 import numpy as np
 
@@ -386,7 +387,29 @@ 
Source code for ffsim.variational.hopgate
             thetas=params,
             final_orbital_rotation=final_orbital_rotation,
         )

-

+
+
+    def _approx_eq_(self, other, rtol: float, atol: float) -> bool:
+        if isinstance(other, HopGateAnsatzOperator):
+            if self.norb != other.norb:
+                return False
+            if self.interaction_pairs != other.interaction_pairs:
+                return False
+            if not np.allclose(self.thetas, other.thetas, rtol=rtol, atol=atol):
+                return False
+            if (self.final_orbital_rotation is None) != (
+                other.final_orbital_rotation is None
+            ):
+                return False
+            if self.final_orbital_rotation is not None:
+                return np.allclose(
+                    cast(np.ndarray, self.final_orbital_rotation),
+                    cast(np.ndarray, other.final_orbital_rotation),
+                    rtol=rtol,
+                    atol=atol,
+                )
+            return True
+        return NotImplemented

 
 

         
@@ -420,7 +443,7 @@ 
Source code for ffsim.variational.hopgate
       
     
   

-

+

     
     
     
diff --git a/_modules/ffsim/variational/multireference.html b/_modules/ffsim/variational/multireference.html
index f713af1d0..1ed265b66 100644
--- a/_modules/ffsim/variational/multireference.html
+++ b/_modules/ffsim/variational/multireference.html
@@ -4,8 +4,8 @@
     
     
 
-    
-        ffsim.variational.multireference - ffsim 0.0.47
+    
+        ffsim.variational.multireference - ffsim 0.0.48
       
     
     
@@ -158,7 +158,7 @@
       
     

     

-      
ffsim 0.0.47

+      
ffsim 0.0.48

     

     

       

@@ -182,7 +182,7 @@
       

   
   
-  ffsim 0.0.47
+  ffsim 0.0.48
   
 
 
@@ -426,7 +426,7 @@ 
Source code for ffsim.variational.multireference

       
     
   

-

+

     
     
     
diff --git a/_modules/ffsim/variational/num_num.html b/_modules/ffsim/variational/num_num.html
index 33ca16ef8..7c074dfef 100644
--- a/_modules/ffsim/variational/num_num.html
+++ b/_modules/ffsim/variational/num_num.html
@@ -4,8 +4,8 @@
     
     
 
-    
-        ffsim.variational.num_num - ffsim 0.0.47
+    
+        ffsim.variational.num_num - ffsim 0.0.48
       
     
     
@@ -158,7 +158,7 @@
       
     

     

-      
ffsim 0.0.47

+      
ffsim 0.0.48

     

     

       

@@ -182,7 +182,7 @@
       

   
   
-  ffsim 0.0.47
+  ffsim 0.0.48
   
 
 
@@ -355,7 +355,9 @@ 
Source code for ffsim.variational.num_num
 

 [docs]
     @staticmethod
-    def n_params(interaction_pairs: list[tuple[int, int]]) -> int:
+    def n_params(
+        interaction_pairs: tuple[list[tuple[int, int]], list[tuple[int, int]]],
+    ) -> int:
         """Return the number of parameters of an ansatz with given settings.
 
         Args:
@@ -506,7 +508,7 @@ 
Source code for ffsim.variational.num_num
       
     
   

-

+

     
     
     
diff --git a/_modules/ffsim/variational/uccsd.html b/_modules/ffsim/variational/uccsd.html
new file mode 100644
index 000000000..f759e7c63
--- /dev/null
+++ b/_modules/ffsim/variational/uccsd.html
@@ -0,0 +1,571 @@
+
+
+  
+    
+    
+
+    
+        ffsim.variational.uccsd - ffsim 0.0.48
+      
+    
+    
+    
+    
+    
+
+
+
+
+  
+    
+    
+    
+
+  
+    Contents
+    
+      
+    
+  
+  
+    Menu
+    
+      
+      
+      
+      
+    
+  
+  
+    Expand
+    
+      
+    
+  
+  
+    Light mode
+    
+      
+      
+      
+      
+      
+      
+      
+      
+      
+    
+  
+  
+    Dark mode
+    
+      
+      
+    
+  
+  
+    Auto light/dark, in light mode
+    
+      
+      
+      
+      
+      
+      
+      
+      
+      
+      
+    
+  
+  
+    Auto light/dark, in dark mode
+    
+      
+      
+      
+      
+      
+      
+      
+      
+      
+      
+    
+  
+  
+    
+      
+      
+    
+  
+  
+    
+      
+      
+      
+    
+  
+
+
+
+
+
+
+
+
+
+
+
+

+  

+    

+      
+    

+    

+      
ffsim 0.0.48

+    

+    

+      

+        
+      

+      
+    

+  

+  
+  

+    

+      

+        
+          
+            
+          
+          Back to top
+        
+        

+          

+            
+          

+          
+        

+        

+          
Source code for ffsim.variational.uccsd
+# (C) Copyright IBM 2024.
+#
+# This code is licensed under the Apache License, Version 2.0. You may
+# obtain a copy of this license in the LICENSE.txt file in the root directory
+# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
+#
+# Any modifications or derivative works of this code must retain this
+# copyright notice, and modified files need to carry a notice indicating
+# that they have been altered from the originals.
+
+"""Unitary coupled cluster, singles and doubles ansatz."""
+
+from __future__ import annotations
+
+import itertools
+from dataclasses import InitVar, dataclass
+from typing import cast
+
+import numpy as np
+import scipy.linalg
+import scipy.sparse.linalg
+
+from ffsim import gates, hamiltonians, linalg, protocols
+from ffsim.variational.util import (
+    orbital_rotation_from_parameters,
+    orbital_rotation_to_parameters,
+)
+
+
+

+[docs]
+@dataclass(frozen=True)
+class UCCSDOpRestrictedReal:
+    """Real-valued restricted unitary coupled cluster, singles and doubles operator."""
+
+    t1: np.ndarray  # shape: (nocc, nvrt)
+    t2: np.ndarray  # shape: (nocc, nocc, nvrt, nvrt)
+    final_orbital_rotation: np.ndarray | None = None  # shape: (norb, norb)
+    validate: InitVar[bool] = True
+    rtol: InitVar[float] = 1e-5
+    atol: InitVar[float] = 1e-8
+
+    def __post_init__(self, validate: bool, rtol: float, atol: float):
+        if np.iscomplexobj(self.t1):
+            raise TypeError(
+                "UCCSDOpRestricted only accepts real-valued t1 amplitudes. "
+                "Please pass a t1 amplitudes tensor with a real-valued data type."
+            )
+        if np.iscomplexobj(self.t2):
+            raise TypeError(
+                "UCCSDOpRestricted only accepts real-valued t2 amplitudes. "
+                "Please pass a t2 amplitudes tensor with a real-valued data type."
+            )
+        if self.final_orbital_rotation is not None and np.iscomplexobj(
+            self.final_orbital_rotation
+        ):
+            raise TypeError(
+                "UCCSDOpRestricted only accepts a real-valued final "
+                "orbital rotation. Please pass a final orbital rotation with a "
+                "real-valued data type."
+            )
+        if validate:
+            # Validate shapes
+            nocc, nvrt = self.t1.shape
+            norb = nocc + nvrt
+            if self.t2.shape != (nocc, nocc, nvrt, nvrt):
+                raise ValueError(
+                    "t2 shape not consistent with t1 shape. "
+                    f"Expected {(nocc, nocc, nvrt, nvrt)} but got {self.t2.shape}"
+                )
+            if self.final_orbital_rotation is not None:
+                if self.final_orbital_rotation.shape != (norb, norb):
+                    raise ValueError(
+                        "Final orbital rotation shape not consistent with t1 shape. "
+                        f"Expected {(norb, norb)} but got "
+                        f"{self.final_orbital_rotation.shape}"
+                    )
+                if not linalg.is_unitary(
+                    self.final_orbital_rotation, rtol=rtol, atol=atol
+                ):
+                    raise ValueError("Final orbital rotation was not unitary.")
+
+    @property
+    def norb(self):
+        """The number of spatial orbitals."""
+        nocc, nvrt = self.t1.shape
+        return nocc + nvrt
+
+

+[docs]
+    @staticmethod
+    def n_params(
+        norb: int, nocc: int, *, with_final_orbital_rotation: bool = False
+    ) -> int:
+        """Return the number of parameters of an ansatz with given settings.
+
+        Args:
+            norb: The number of spatial orbitals.
+            nocc: The number of spatial orbitals that are occupied by electrons.
+            with_final_orbital_rotation: Whether to include a final orbital rotation
+                in the operator.
+
+        Returns:
+            The number of parameters of the ansatz.
+        """
+        nvrt = norb - nocc
+        # Number of occupied-virtual pairs
+        n_pairs = nocc * nvrt
+        # t1 has n_pairs parameters
+        # t2 has n_pairs * (n_pairs + 1) // 2 parameters
+        # Final orbital rotation has norb * (norb - 1) // 2 parameters
+        return (
+            n_pairs
+            + n_pairs * (n_pairs + 1) // 2
+            + with_final_orbital_rotation * norb * (norb - 1) // 2
+        )

+
+
+

+[docs]
+    @staticmethod
+    def from_parameters(
+        params: np.ndarray,
+        *,
+        norb: int,
+        nocc: int,
+        with_final_orbital_rotation: bool = False,
+    ) -> UCCSDOpRestrictedReal:
+        r"""Initialize the UCCSD operator from a real-valued parameter vector.
+
+        Args:
+            params: The real-valued parameter vector.
+            norb: The number of spatial orbitals.
+            nocc: The number of spatial orbitals that are occupied by electrons.
+            with_final_orbital_rotation: Whether to include a final orbital rotation
+                in the operator.
+
+        Returns:
+            The UCCSD operator constructed from the given parameters.
+
+        Raises:
+            ValueError: The number of parameters passed did not match the number
+                expected based on the function inputs.
+        """
+        n_params = UCCSDOpRestrictedReal.n_params(
+            norb, nocc, with_final_orbital_rotation=with_final_orbital_rotation
+        )
+        if len(params) != n_params:
+            raise ValueError(
+                "The number of parameters passed did not match the number expected "
+                "based on the function inputs. "
+                f"Expected {n_params} but got {len(params)}."
+            )
+        nvrt = norb - nocc
+        t1 = np.zeros((nocc, nvrt))
+        t2 = np.zeros((nocc, nocc, nvrt, nvrt))
+        occ_vrt_pairs = list(itertools.product(range(nocc), range(nocc, norb)))
+        index = 0
+        # t1
+        for i, a in occ_vrt_pairs:
+            t1[i, a - nocc] = params[index]
+            index += 1
+        # t2
+        for (i, a), (j, b) in itertools.combinations_with_replacement(occ_vrt_pairs, 2):
+            t2[i, j, a - nocc, b - nocc] = params[index]
+            t2[j, i, b - nocc, a - nocc] = params[index]
+            index += 1
+        # Final orbital rotation
+        final_orbital_rotation = None
+        if with_final_orbital_rotation:
+            final_orbital_rotation = orbital_rotation_from_parameters(
+                params[index:], norb, real=True
+            )
+        return UCCSDOpRestrictedReal(
+            t1=t1, t2=t2, final_orbital_rotation=final_orbital_rotation
+        )

+
+
+

+[docs]
+    def to_parameters(self) -> np.ndarray:
+        r"""Convert the UCCSD operator to a real-valued parameter vector.
+
+        Returns:
+            The real-valued parameter vector.
+        """
+        nocc, nvrt = self.t1.shape
+        norb = nocc + nvrt
+        n_params = UCCSDOpRestrictedReal.n_params(
+            norb,
+            nocc,
+            with_final_orbital_rotation=self.final_orbital_rotation is not None,
+        )
+        params = np.zeros(n_params)
+        occ_vrt_pairs = list(itertools.product(range(nocc), range(nocc, norb)))
+        index = 0
+        # t1
+        for i, a in occ_vrt_pairs:
+            params[index] = self.t1[i, a - nocc]
+            index += 1
+        # t2
+        for (i, a), (j, b) in itertools.combinations_with_replacement(occ_vrt_pairs, 2):
+            params[index] = self.t2[i, j, a - nocc, b - nocc]
+            index += 1
+        # Final orbital rotation
+        if self.final_orbital_rotation is not None:
+            params[index:] = orbital_rotation_to_parameters(
+                self.final_orbital_rotation, real=True
+            )
+        return params

+
+
+    def _apply_unitary_(
+        self, vec: np.ndarray, norb: int, nelec: int | tuple[int, int], copy: bool
+    ) -> np.ndarray:
+        if isinstance(nelec, int):
+            return NotImplemented
+        if copy:
+            vec = vec.copy()
+
+        nocc, _ = self.t1.shape
+        assert nelec == (nocc, nocc)
+
+        one_body_tensor = np.zeros((norb, norb))
+        two_body_tensor = np.zeros((norb, norb, norb, norb))
+        one_body_tensor[:nocc, nocc:] = self.t1
+        one_body_tensor[nocc:, :nocc] = -self.t1.T
+        two_body_tensor[nocc:, :nocc, nocc:, :nocc] = self.t2.transpose(2, 0, 3, 1)
+        two_body_tensor[:nocc, nocc:, :nocc, nocc:] = -self.t2.transpose(0, 2, 1, 3)
+
+        linop = protocols.linear_operator(
+            hamiltonians.MolecularHamiltonian(
+                one_body_tensor=one_body_tensor, two_body_tensor=two_body_tensor
+            ),
+            norb=norb,
+            nelec=nelec,
+        )
+        vec = scipy.sparse.linalg.expm_multiply(linop, vec, traceA=0.0)
+
+        if self.final_orbital_rotation is not None:
+            vec = gates.apply_orbital_rotation(
+                vec, self.final_orbital_rotation, norb=norb, nelec=nelec, copy=False
+            )
+
+        return vec
+
+    def _approx_eq_(self, other, rtol: float, atol: float) -> bool:
+        if isinstance(other, UCCSDOpRestrictedReal):
+            if not np.allclose(self.t1, other.t1, rtol=rtol, atol=atol):
+                return False
+            if not np.allclose(self.t2, other.t2, rtol=rtol, atol=atol):
+                return False
+            if (self.final_orbital_rotation is None) != (
+                other.final_orbital_rotation is None
+            ):
+                return False
+            if self.final_orbital_rotation is not None:
+                return np.allclose(
+                    cast(np.ndarray, self.final_orbital_rotation),
+                    cast(np.ndarray, other.final_orbital_rotation),
+                    rtol=rtol,
+                    atol=atol,
+                )
+            return True
+        return NotImplemented

+
+

+        

+      

+      

+        
+        

+          
+          
+        

+        

+          

+            

+                Copyright © 2023, IBM
+            

+            Made with Sphinx and @pradyunsg's
+            
+            Furo
+            
+          

+          

+            
+          

+        

+        
+      

+    

+    
+  

+

+    
+    
+    
+    
+    
+
\ No newline at end of file
diff --git a/_modules/ffsim/variational/ucj.html b/_modules/ffsim/variational/ucj.html
deleted file mode 100644
index 00a43e774..000000000
--- a/_modules/ffsim/variational/ucj.html
+++ /dev/null
@@ -1,1064 +0,0 @@
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ffsim 0.0.47

-    

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Source code for ffsim.variational.ucj
-# (C) Copyright IBM 2023.
-#
-# This code is licensed under the Apache License, Version 2.0. You may
-# obtain a copy of this license in the LICENSE.txt file in the root directory
-# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
-#
-# Any modifications or derivative works of this code must retain this
-# copyright notice, and modified files need to carry a notice indicating
-# that they have been altered from the originals.
-
-"""(Local) unitary cluster Jastrow ansatz."""
-
-from __future__ import annotations
-
-import itertools
-from dataclasses import dataclass
-from typing import cast
-
-import numpy as np
-import scipy.linalg
-from opt_einsum import contract
-from typing_extensions import deprecated
-
-from ffsim.gates import apply_diag_coulomb_evolution, apply_orbital_rotation
-from ffsim.linalg import double_factorized_t2
-from ffsim.variational.util import (
-    orbital_rotation_from_parameters,
-    orbital_rotation_to_parameters,
-)
-
-
-def _validate_diag_coulomb_indices(indices: list[tuple[int, int]] | None):
-    if indices is not None:
-        for i, j in indices:
-            if i > j:
-                raise ValueError(
-                    "When specifying diagonal Coulomb indices, you must give only "
-                    "upper trianglular indices. "
-                    f"Got {(i, j)}, which is a lower triangular index."
-                )
-
-
-

-[docs]
-@dataclass(frozen=True)
-@deprecated("The UCJOperator class is deprecated. Use UCJOpSpinBalanced instead.")
-class UCJOperator:
-    r"""A unitary cluster Jastrow operator.
-
-    .. warning::
-        The UCJOperator class is deprecated. Use :class:`ffsim.UCJOpSpinBalanced`
-        instead.
-
-    A unitary cluster Jastrow (UCJ) operator has the form
-
-    .. math::
-
-        \prod_{k = 1}^L \mathcal{W}_k e^{i \mathcal{J}_k} \mathcal{W}_k^\dagger
-
-    where each :math:`\mathcal{W_k}` is an orbital rotation and each :math:`\mathcal{J}`
-    is a diagonal Coulomb operator of the form
-
-    .. math::
-
-        \mathcal{J} = \frac12\sum_{\sigma \tau, ij}
-        \mathbf{J}^{\sigma \tau}_{ij} n_{\sigma, i} n_{\tau, j}.
-
-    In order that the operator commutes with the total spin Z operator, we enforce that
-    :math:`\mathbf{J}^{\alpha\alpha} = \mathbf{J}^{\beta\beta}` and
-    :math:`\mathbf{J}^{\alpha\beta} = \mathbf{J}^{\beta\alpha}`. As a result, we have
-    two sets of matrices for describing the diagonal Coulomb operators:
-    "alpha-alpha" matrices containing coefficients for terms involving the same spin,
-    and "alpha-beta" matrices containing coefficients for terms involving different
-    spins.
-
-    To support variational optimization of the orbital basis, an optional final
-    orbital rotation can be included in the operator, to be performed at the end.
-
-    Attributes:
-        diag_coulomb_mats_alpha_alpha (np.ndarray): The "alpha-alpha" diagonal Coulomb
-            matrices.
-        diag_coulomb_mats_alpha_beta (np.ndarray): The "alpha-beta" diagonal Coulomb
-            matrices.
-        orbital_rotations (np.ndarray): The orbital rotations.
-        final_orbital_rotation (np.ndarray): The optional final orbital rotation.
-    """
-
-    diag_coulomb_mats_alpha_alpha: np.ndarray
-    diag_coulomb_mats_alpha_beta: np.ndarray
-    orbital_rotations: np.ndarray
-    final_orbital_rotation: np.ndarray | None = None
-
-    @property
-    def norb(self):
-        """The number of spatial orbitals."""
-        return self.diag_coulomb_mats_alpha_alpha.shape[1]
-
-    @property
-    def n_reps(self):
-        """The number of ansatz repetitions."""
-        return self.diag_coulomb_mats_alpha_alpha.shape[0]
-
-

-[docs]
-    @staticmethod
-    def n_params(
-        norb: int,
-        n_reps: int,
-        *,
-        alpha_alpha_indices: list[tuple[int, int]] | None = None,
-        alpha_beta_indices: list[tuple[int, int]] | None = None,
-        with_final_orbital_rotation: bool = False,
-    ) -> int:
-        """Return the number of parameters of an ansatz with given settings."""
-        _validate_diag_coulomb_indices(alpha_alpha_indices)
-        _validate_diag_coulomb_indices(alpha_beta_indices)
-        n_params_aa = (
-            norb * (norb + 1) // 2
-            if alpha_alpha_indices is None
-            else len(alpha_alpha_indices)
-        )
-        n_params_ab = (
-            norb * (norb + 1) // 2
-            if alpha_beta_indices is None
-            else len(alpha_beta_indices)
-        )
-        return (
-            n_reps * (norb**2 + n_params_aa + n_params_ab)
-            + with_final_orbital_rotation * norb**2
-        )

-
-
-

-[docs]
-    @staticmethod
-    @deprecated("The UCJOperator class is deprecated. Use UCJOpSpinBalanced instead.")
-    def from_parameters(
-        params: np.ndarray,
-        *,
-        norb: int,
-        n_reps: int,
-        alpha_alpha_indices: list[tuple[int, int]] | None = None,
-        alpha_beta_indices: list[tuple[int, int]] | None = None,
-        with_final_orbital_rotation: bool = False,
-    ) -> UCJOperator:
-        r"""Initialize the UCJ operator from a real-valued parameter vector.
-
-        Args:
-            params: The real-valued parameter vector.
-            norb: The number of spatial orbitals.
-            n_reps: The number of ansatz repetitions (:math:`L` from the docstring of
-                this class).
-            alpha_alpha_indices: Allowed indices for nonzero values of the "alpha-alpha"
-                diagonal Coulomb matrices (see the docstring of this class).
-                If not specified, all matrix entries are allowed to be nonzero.
-                This list should contain only upper trianglular indices, i.e.,
-                pairs :math:`(i, j)` where :math:`i \leq j`. Passing a list with
-                lower triangular indices will raise an error.
-            alpha_beta_indices: Allowed indices for nonzero values of the "alpha-beta"
-                diagonal Coulomb matrices (see the docstring of this class).
-                If not specified, all matrix entries are allowed to be nonzero.
-                This list should contain only upper trianglular indices, i.e.,
-                pairs :math:`(i, j)` where :math:`i \leq j`. Passing a list with
-                lower triangular indices will raise an error.
-            with_final_orbital_rotation: Whether to include a final orbital rotation
-                in the operator.
-
-        Returns:
-            The UCJ operator constructed from the given parameters.
-
-        Raises:
-            ValueError: alpha_alpha_indices contains lower triangular indices.
-            ValueError: alpha_beta_indices contains lower triangular indices.
-        """
-        _validate_diag_coulomb_indices(alpha_alpha_indices)
-        _validate_diag_coulomb_indices(alpha_beta_indices)
-        return UCJOperator(
-            *_ucj_from_parameters(
-                params,
-                norb=norb,
-                n_reps=n_reps,
-                alpha_alpha_indices=alpha_alpha_indices,
-                alpha_beta_indices=alpha_beta_indices,
-                with_final_orbital_rotation=with_final_orbital_rotation,
-            )
-        )

-
-
-

-[docs]
-    def to_parameters(
-        self,
-        *,
-        alpha_alpha_indices: list[tuple[int, int]] | None = None,
-        alpha_beta_indices: list[tuple[int, int]] | None = None,
-    ) -> np.ndarray:
-        r"""Convert the UCJ operator to a real-valued parameter vector.
-
-        If `alpha_alpha_indices` or `alpha_beta_indices` is specified, the returned
-        parameter vector will incorporate only the diagonal Coulomb matrix entries
-        corresponding to the given indices, so the original operator will not be
-        recoverable from the parameter vector.
-
-        Args:
-            alpha_alpha_indices: Allowed indices for nonzero values of the "alpha-alpha"
-                diagonal Coulomb matrices (see the docstring of this class).
-                If not specified, all matrix entries are allowed to be nonzero.
-                This list should contain only upper trianglular indices, i.e.,
-                pairs :math:`(i, j)` where :math:`i \leq j`. Passing a list with
-                lower triangular indices will raise an error.
-            alpha_beta_indices: Allowed indices for nonzero values of the "alpha-beta"
-                diagonal Coulomb matrices (see the docstring of this class).
-                If not specified, all matrix entries are allowed to be nonzero.
-                This list should contain only upper trianglular indices, i.e.,
-                pairs :math:`(i, j)` where :math:`i \leq j`. Passing a list with
-                lower triangular indices will raise an error.
-
-        Returns:
-            The real-valued parameter vector.
-
-        Raises:
-            ValueError: alpha_alpha_indices contains lower triangular indices.
-            ValueError: alpha_beta_indices contains lower triangular indices.
-        """
-        _validate_diag_coulomb_indices(alpha_alpha_indices)
-        _validate_diag_coulomb_indices(alpha_beta_indices)
-        return _ucj_to_parameters(
-            diag_coulomb_mats_alpha_alpha=self.diag_coulomb_mats_alpha_alpha,
-            diag_coulomb_mats_alpha_beta=self.diag_coulomb_mats_alpha_beta,
-            orbital_rotations=self.orbital_rotations,
-            final_orbital_rotation=self.final_orbital_rotation,
-            alpha_alpha_indices=alpha_alpha_indices,
-            alpha_beta_indices=alpha_beta_indices,
-        )

-
-
-

-[docs]
-    @staticmethod
-    @deprecated("The UCJOperator class is deprecated. Use UCJOpSpinBalanced instead.")
-    def from_t_amplitudes(
-        t2: np.ndarray,
-        *,
-        t1: np.ndarray | None = None,
-        n_reps: int | None = None,
-        tol: float = 1e-8,
-    ) -> UCJOperator:
-        """Initialize the UCJ operator from t2 (and optionally t1) amplitudes."""
-        nocc, _, nvrt, _ = t2.shape
-        norb = nocc + nvrt
-
-        diag_coulomb_mats, orbital_rotations = double_factorized_t2(t2, tol=tol)
-        diag_coulomb_mats = diag_coulomb_mats.reshape(-1, norb, norb)[:n_reps]
-        orbital_rotations = orbital_rotations.reshape(-1, norb, norb)[:n_reps]
-
-        final_orbital_rotation = None
-        if t1 is not None:
-            final_orbital_rotation_generator = np.zeros((norb, norb), dtype=complex)
-            final_orbital_rotation_generator[:nocc, nocc:] = t1
-            final_orbital_rotation_generator[nocc:, :nocc] = -t1.T
-            final_orbital_rotation = scipy.linalg.expm(final_orbital_rotation_generator)
-
-        return UCJOperator(
-            diag_coulomb_mats_alpha_alpha=diag_coulomb_mats,
-            diag_coulomb_mats_alpha_beta=diag_coulomb_mats,
-            orbital_rotations=orbital_rotations,
-            final_orbital_rotation=final_orbital_rotation,
-        )

-
-
-

-[docs]
-    def to_t_amplitudes(
-        self, nocc: int | None = None
-    ) -> np.ndarray | tuple[np.ndarray, np.ndarray]:
-        """Convert the UCJ operator to t2 (and possibly t1) amplitudes."""
-        t2 = (
-            1j
-            * contract(
-                "kpq,kap,kip,kbq,kjq->ijab",
-                self.diag_coulomb_mats_alpha_alpha,
-                self.orbital_rotations,
-                self.orbital_rotations.conj(),
-                self.orbital_rotations,
-                self.orbital_rotations.conj(),
-                optimize="greedy",
-            )[:nocc, :nocc, nocc:, nocc:]
-        )
-
-        if self.final_orbital_rotation is None:
-            return t2
-
-        t1 = scipy.linalg.logm(self.final_orbital_rotation)[:nocc, nocc:]
-        return t2, t1

-
-
-    def _apply_unitary_(
-        self, vec: np.ndarray, norb: int, nelec: int | tuple[int, int], copy: bool
-    ) -> np.ndarray:
-        """Apply the operator to a vector."""
-        if isinstance(nelec, int):
-            return NotImplemented
-        if copy:
-            vec = vec.copy()
-        for mat, mat_alpha_beta, orbital_rotation in zip(
-            self.diag_coulomb_mats_alpha_alpha,
-            self.diag_coulomb_mats_alpha_beta,
-            self.orbital_rotations,
-        ):
-            vec = apply_diag_coulomb_evolution(
-                vec,
-                mat=(mat, mat_alpha_beta, mat),
-                time=-1.0,
-                norb=norb,
-                nelec=nelec,
-                orbital_rotation=orbital_rotation,
-                copy=False,
-            )
-        if self.final_orbital_rotation is not None:
-            vec = apply_orbital_rotation(
-                vec,
-                mat=self.final_orbital_rotation,
-                norb=norb,
-                nelec=nelec,
-                copy=False,
-            )
-        return vec

-
-
-
-

-[docs]
-@dataclass
-@deprecated("The RealUCJOperator class is deprecated. Use UCJOpSpinBalanced instead.")
-class RealUCJOperator:
-    r"""Real-valued unitary cluster Jastrow operator.
-
-    .. warning::
-        The RealUCJOperator class is deprecated. Use :class:`ffsim.UCJOpSpinBalanced`
-        instead.
-
-    A real-valued unitary cluster Jastrow (UCJ) operator has the form
-
-    .. math::
-
-        \prod_{k = 1}^L
-        \mathcal{W_k^*} e^{i \mathcal{-J}_k} \mathcal{W_k}^T
-        \mathcal{W_k} e^{i \mathcal{J}_k} \mathcal{W_k^\dagger}
-
-    where each :math:`\mathcal{W_k}` is an orbital rotation and each :math:`\mathcal{J}`
-    is a diagonal Coulomb operator of the form
-
-    .. math::
-
-        \mathcal{J} = \frac12\sum_{ij,\sigma \tau}
-        \mathbf{J}^{\sigma \tau}_{ij} n_{i,\sigma} n_{j,\tau}.
-
-    In order that the operator commutes with the total spin Z operator, we enforce that
-    :math:`\mathbf{J}^{\alpha\alpha} = \mathbf{J}^{\beta\beta}` and
-    :math:`\mathbf{J}^{\alpha\beta} = \mathbf{J}^{\beta\alpha}`. As a result, we have
-    two sets of matrices for describing the diagonal Coulomb operators:
-    "alpha-alpha" matrices containing coefficients for terms involving the same spin,
-    and "alpha-beta" matrices containing coefficients for terms involving different
-    spins.
-
-    To support variational optimization of the orbital basis, an optional final
-    orbital rotation can be included in the operator, to be performed at the end.
-
-    Attributes:
-        diag_coulomb_mats_alpha_alpha: The "alpha-alpha" diagonal Coulomb matrices.
-        diag_coulomb_mats_alpha_beta: The "alpha-beta" diagonal Coulomb matrices.
-        orbital_rotations: The orbital rotations.
-        final_orbital_rotation: The optional final orbital rotation.
-    """
-
-    diag_coulomb_mats_alpha_alpha: np.ndarray
-    diag_coulomb_mats_alpha_beta: np.ndarray
-    orbital_rotations: np.ndarray
-    final_orbital_rotation: np.ndarray | None = None
-
-    @property
-    def norb(self):
-        """The number of spatial orbitals."""
-        return self.diag_coulomb_mats_alpha_alpha.shape[1]
-
-    @property
-    def n_reps(self):
-        """The number of ansatz repetitions."""
-        return self.diag_coulomb_mats_alpha_alpha.shape[0]
-
-

-[docs]
-    @staticmethod
-    def n_params(
-        norb: int,
-        n_reps: int,
-        *,
-        alpha_alpha_indices: list[tuple[int, int]] | None = None,
-        alpha_beta_indices: list[tuple[int, int]] | None = None,
-        with_final_orbital_rotation: bool = False,
-    ) -> int:
-        """Return the number of parameters of an ansatz with given settings."""
-        n_params_aa = (
-            norb * (norb + 1) // 2
-            if alpha_alpha_indices is None
-            else len(alpha_alpha_indices)
-        )
-        n_params_ab = (
-            norb * (norb + 1) // 2
-            if alpha_beta_indices is None
-            else len(alpha_beta_indices)
-        )
-        return (
-            n_reps * (norb**2 + n_params_aa + n_params_ab)
-            + with_final_orbital_rotation * norb**2
-        )

-
-
-

-[docs]
-    @staticmethod
-    @deprecated(
-        "The RealUCJOperator class is deprecated. Use UCJOpSpinBalanced instead."
-    )
-    def from_parameters(
-        params: np.ndarray,
-        *,
-        norb: int,
-        n_reps: int,
-        alpha_alpha_indices: list[tuple[int, int]] | None = None,
-        alpha_beta_indices: list[tuple[int, int]] | None = None,
-        with_final_orbital_rotation: bool = False,
-    ) -> "RealUCJOperator":
-        r"""Initialize the real UCJ operator from a real-valued parameter vector.
-
-        Args:
-            params: The real-valued parameter vector.
-            norb: The number of spatial orbitals.
-            n_reps: The number of ansatz repetitions (:math:`L` from the docstring of
-                this class).
-            alpha_alpha_indices: Allowed indices for nonzero values of the "alpha-alpha"
-                diagonal Coulomb matrices (see the docstring of this class).
-                If not specified, all matrix entries are allowed to be nonzero.
-                This list should contain only upper trianglular indices, i.e.,
-                pairs :math:`(i, j)` where :math:`i \leq j`. Passing a list with
-                lower triangular indices will raise an error.
-            alpha_beta_indices: Allowed indices for nonzero values of the "alpha-beta"
-                diagonal Coulomb matrices (see the docstring of this class).
-                If not specified, all matrix entries are allowed to be nonzero.
-                This list should contain only upper trianglular indices, i.e.,
-                pairs :math:`(i, j)` where :math:`i \leq j`. Passing a list with
-                lower triangular indices will raise an error.
-            with_final_orbital_rotation: Whether to include a final orbital rotation
-                in the operator.
-
-        Returns:
-            The real UCJ operator constructed from the given parameters.
-
-        Raises:
-            ValueError: alpha_alpha_indices contains lower triangular indices.
-            ValueError: alpha_beta_indices contains lower triangular indices.
-        """
-        _validate_diag_coulomb_indices(alpha_alpha_indices)
-        _validate_diag_coulomb_indices(alpha_beta_indices)
-        return RealUCJOperator(
-            *_ucj_from_parameters(
-                params,
-                norb=norb,
-                n_reps=n_reps,
-                alpha_alpha_indices=alpha_alpha_indices,
-                alpha_beta_indices=alpha_beta_indices,
-                with_final_orbital_rotation=with_final_orbital_rotation,
-            )
-        )

-
-
-

-[docs]
-    def to_parameters(
-        self,
-        *,
-        alpha_alpha_indices: list[tuple[int, int]] | None = None,
-        alpha_beta_indices: list[tuple[int, int]] | None = None,
-    ) -> np.ndarray:
-        r"""Convert the real UCJ operator to a real-valued parameter vector.
-
-        If `alpha_alpha_indices` or `alpha_beta_indices` is specified, the returned
-        parameter vector will incorporate only the diagonal Coulomb matrix entries
-        corresponding to the given indices, so the original operator will not be
-        recoverable from the parameter vector.
-
-        Args:
-            alpha_alpha_indices: Allowed indices for nonzero values of the "alpha-alpha"
-                diagonal Coulomb matrices (see the docstring of this class).
-                If not specified, all matrix entries are allowed to be nonzero.
-                This list should contain only upper trianglular indices, i.e.,
-                pairs :math:`(i, j)` where :math:`i \leq j`. Passing a list with
-                lower triangular indices will raise an error.
-            alpha_beta_indices: Allowed indices for nonzero values of the "alpha-beta"
-                diagonal Coulomb matrices (see the docstring of this class).
-                If not specified, all matrix entries are allowed to be nonzero.
-                This list should contain only upper trianglular indices, i.e.,
-                pairs :math:`(i, j)` where :math:`i \leq j`. Passing a list with
-                lower triangular indices will raise an error.
-
-        Returns:
-            The real-valued parameter vector.
-
-        Raises:
-            ValueError: alpha_alpha_indices contains lower triangular indices.
-            ValueError: alpha_beta_indices contains lower triangular indices.
-        """
-        _validate_diag_coulomb_indices(alpha_alpha_indices)
-        _validate_diag_coulomb_indices(alpha_beta_indices)
-        return _ucj_to_parameters(
-            diag_coulomb_mats_alpha_alpha=self.diag_coulomb_mats_alpha_alpha,
-            diag_coulomb_mats_alpha_beta=self.diag_coulomb_mats_alpha_beta,
-            orbital_rotations=self.orbital_rotations,
-            final_orbital_rotation=self.final_orbital_rotation,
-            alpha_alpha_indices=alpha_alpha_indices,
-            alpha_beta_indices=alpha_beta_indices,
-        )

-
-
-

-[docs]
-    @staticmethod
-    @deprecated(
-        "The RealUCJOperator class is deprecated. Use UCJOpSpinBalanced instead."
-    )
-    def from_t_amplitudes(
-        t2: np.ndarray,
-        *,
-        t1: np.ndarray | None = None,
-        n_reps: int | None = None,
-        tol: float = 1e-8,
-    ) -> "RealUCJOperator":
-        """Initialize the real UCJ operator from t2 (and optionally t1) amplitudes."""
-        nocc, _, nvrt, _ = t2.shape
-        norb = nocc + nvrt
-
-        diag_coulomb_mats, orbital_rotations = double_factorized_t2(t2, tol=tol)
-        diag_coulomb_mats = diag_coulomb_mats[:n_reps, 0]
-        orbital_rotations = orbital_rotations[:n_reps, 0]
-
-        final_orbital_rotation = None
-        if t1 is not None:
-            final_orbital_rotation_generator = np.zeros((norb, norb), dtype=complex)
-            final_orbital_rotation_generator[:nocc, nocc:] = t1
-            final_orbital_rotation_generator[nocc:, :nocc] = -t1.T
-            final_orbital_rotation = scipy.linalg.expm(final_orbital_rotation_generator)
-
-        return RealUCJOperator(
-            diag_coulomb_mats_alpha_alpha=diag_coulomb_mats,
-            diag_coulomb_mats_alpha_beta=diag_coulomb_mats,
-            orbital_rotations=orbital_rotations,
-            final_orbital_rotation=final_orbital_rotation,
-        )

-
-
-

-[docs]
-    def to_t_amplitudes(
-        self, nocc: int | None = None
-    ) -> np.ndarray | tuple[np.ndarray, np.ndarray]:
-        """Convert the UCJ operator to t2 (and possibly t1) amplitudes."""
-        t2 = 1j * (
-            contract(
-                "kpq,kap,kip,kbq,kjq->ijab",
-                self.diag_coulomb_mats_alpha_alpha,
-                self.orbital_rotations,
-                self.orbital_rotations.conj(),
-                self.orbital_rotations,
-                self.orbital_rotations.conj(),
-                optimize="greedy",
-            )[:nocc, :nocc, nocc:, nocc:]
-            + contract(
-                "kpq,kap,kip,kbq,kjq->ijab",
-                -self.diag_coulomb_mats_alpha_alpha,
-                self.orbital_rotations.conj(),
-                self.orbital_rotations,
-                self.orbital_rotations.conj(),
-                self.orbital_rotations,
-                optimize="greedy",
-            )[:nocc, :nocc, nocc:, nocc:]
-        )
-
-        if self.final_orbital_rotation is None:
-            return t2
-
-        t1 = scipy.linalg.logm(self.final_orbital_rotation)[:nocc, nocc:]
-        return t2, t1

-
-
-    def _apply_unitary_(
-        self, vec: np.ndarray, norb: int, nelec: int | tuple[int, int], copy: bool
-    ) -> np.ndarray:
-        """Apply the operator to a vector."""
-        if isinstance(nelec, int):
-            return NotImplemented
-        if copy:
-            vec = vec.copy()
-        for mat, mat_alpha_beta, orbital_rotation in zip(
-            self.diag_coulomb_mats_alpha_alpha,
-            self.diag_coulomb_mats_alpha_beta,
-            self.orbital_rotations,
-        ):
-            vec = apply_diag_coulomb_evolution(
-                vec,
-                mat=(mat, mat_alpha_beta, mat),
-                time=-1.0,
-                norb=norb,
-                nelec=nelec,
-                orbital_rotation=orbital_rotation,
-                copy=False,
-            )
-            vec = apply_diag_coulomb_evolution(
-                vec,
-                mat=(-mat, -mat_alpha_beta, -mat),
-                time=-1.0,
-                norb=norb,
-                nelec=nelec,
-                orbital_rotation=orbital_rotation.conj(),
-                copy=False,
-            )
-        if self.final_orbital_rotation is not None:
-            vec = apply_orbital_rotation(
-                vec,
-                mat=self.final_orbital_rotation,
-                norb=norb,
-                nelec=nelec,
-                copy=False,
-            )
-        return vec

-
-
-
-def _ucj_from_parameters(
-    params: np.ndarray,
-    *,
-    norb: int,
-    n_reps: int,
-    alpha_alpha_indices: list[tuple[int, int]] | None = None,
-    alpha_beta_indices: list[tuple[int, int]] | None = None,
-    with_final_orbital_rotation: bool = False,
-) -> tuple[np.ndarray, np.ndarray, np.ndarray, np.ndarray | None]:
-    triu_indices = cast(
-        list[tuple[int, int]],
-        list(itertools.combinations_with_replacement(range(norb), 2)),
-    )
-    if alpha_alpha_indices is None:
-        alpha_alpha_indices = triu_indices
-    if alpha_beta_indices is None:
-        alpha_beta_indices = triu_indices
-    diag_coulomb_mats_alpha_alpha = np.zeros((n_reps, norb, norb))
-    diag_coulomb_mats_alpha_beta = np.zeros((n_reps, norb, norb))
-    orbital_rotations = np.zeros((n_reps, norb, norb), dtype=complex)
-    index = 0
-    for (
-        orbital_rotation,
-        diag_coulomb_mat_alpha_alpha,
-        diag_coulomb_mat_alpha_beta,
-    ) in zip(
-        orbital_rotations,
-        diag_coulomb_mats_alpha_alpha,
-        diag_coulomb_mats_alpha_beta,
-    ):
-        # orbital rotation
-        n_params = norb**2
-        orbital_rotation[:] = orbital_rotation_from_parameters(
-            params[index : index + n_params], norb
-        )
-        index += n_params
-        # diag coulomb matrix, alpha-alpha
-        if alpha_alpha_indices:
-            n_params = len(alpha_alpha_indices)
-            rows, cols = zip(*alpha_alpha_indices)
-            vals = params[index : index + n_params]
-            diag_coulomb_mat_alpha_alpha[rows, cols] = vals
-            diag_coulomb_mat_alpha_alpha[cols, rows] = vals
-            index += n_params
-        # diag coulomb matrix, alpha-beta
-        if alpha_beta_indices:
-            n_params = len(alpha_beta_indices)
-            rows, cols = zip(*alpha_beta_indices)
-            vals = params[index : index + n_params]
-            diag_coulomb_mat_alpha_beta[rows, cols] = vals
-            diag_coulomb_mat_alpha_beta[cols, rows] = vals
-            index += n_params
-    # final orbital rotation
-    final_orbital_rotation = None
-    if with_final_orbital_rotation:
-        final_orbital_rotation = orbital_rotation_from_parameters(params[index:], norb)
-    return (
-        diag_coulomb_mats_alpha_alpha,
-        diag_coulomb_mats_alpha_beta,
-        orbital_rotations,
-        final_orbital_rotation,
-    )
-
-
-def _ucj_to_parameters(
-    diag_coulomb_mats_alpha_alpha: np.ndarray,
-    diag_coulomb_mats_alpha_beta: np.ndarray,
-    orbital_rotations: np.ndarray,
-    final_orbital_rotation: np.ndarray | None = None,
-    *,
-    alpha_alpha_indices: list[tuple[int, int]] | None = None,
-    alpha_beta_indices: list[tuple[int, int]] | None = None,
-) -> np.ndarray:
-    n_reps, norb, _ = diag_coulomb_mats_alpha_alpha.shape
-    triu_indices = cast(
-        list[tuple[int, int]],
-        list(itertools.combinations_with_replacement(range(norb), 2)),
-    )
-    if alpha_alpha_indices is None:
-        alpha_alpha_indices = triu_indices
-    if alpha_beta_indices is None:
-        alpha_beta_indices = triu_indices
-    ntheta = n_reps * (len(alpha_alpha_indices) + len(alpha_beta_indices) + norb**2)
-    if final_orbital_rotation is not None:
-        ntheta += norb**2
-    theta = np.zeros(ntheta)
-    index = 0
-    for (
-        orbital_rotation,
-        diag_coulomb_mat_alpha_alpha,
-        diag_coulomb_mat_alpha_beta,
-    ) in zip(
-        orbital_rotations,
-        diag_coulomb_mats_alpha_alpha,
-        diag_coulomb_mats_alpha_beta,
-    ):
-        # orbital rotation
-        n_params = norb**2
-        theta[index : index + n_params] = orbital_rotation_to_parameters(
-            orbital_rotation
-        )
-        index += n_params
-        # diag coulomb matrix, alpha-alpha
-        if alpha_alpha_indices:
-            n_params = len(alpha_alpha_indices)
-            theta[index : index + n_params] = diag_coulomb_mat_alpha_alpha[
-                tuple(zip(*alpha_alpha_indices))
-            ]
-            index += n_params
-        # diag coulomb matrix, alpha-beta
-        if alpha_beta_indices:
-            n_params = len(alpha_beta_indices)
-            theta[index : index + n_params] = diag_coulomb_mat_alpha_beta[
-                tuple(zip(*alpha_beta_indices))
-            ]
-            index += n_params
-    # final orbital rotation
-    if final_orbital_rotation is not None:
-        theta[index : index + norb**2] = orbital_rotation_to_parameters(
-            final_orbital_rotation
-        )
-    return theta
-

-        

-      

-      

-        
-        

-          
-          
-        

-        

-          

-            

-                Copyright © 2023, IBM
-            

-            Made with Sphinx and @pradyunsg's
-            
-            Furo
-            
-          

-          

-            
-          

-        

-        
-      

-    

-    
-  

-

-    
-    
-    
-    
-    
-
\ No newline at end of file
diff --git a/_modules/ffsim/variational/ucj_spin_balanced.html b/_modules/ffsim/variational/ucj_spin_balanced.html
index 071e02c27..f3fd0178d 100644
--- a/_modules/ffsim/variational/ucj_spin_balanced.html
+++ b/_modules/ffsim/variational/ucj_spin_balanced.html
@@ -4,8 +4,8 @@
     
     
 
-    
-        ffsim.variational.ucj_spin_balanced - ffsim 0.0.47
+    
+        ffsim.variational.ucj_spin_balanced - ffsim 0.0.48
       
     
     
@@ -158,7 +158,7 @@
       
     

     

-      
ffsim 0.0.47

+      
ffsim 0.0.48

     

     

       

@@ -182,7 +182,7 @@
       

   
   
-  ffsim 0.0.47
+  ffsim 0.0.48
   
 
 
@@ -289,28 +289,10 @@ 
Source code for ffsim.variational.ucj_spin_balanced
from ffsim.variational.util import (
     orbital_rotation_from_parameters,
     orbital_rotation_to_parameters,
+    validate_interaction_pairs,
 )
 
 
-def _validate_interaction_pairs(
-    interaction_pairs: list[tuple[int, int]] | None, ordered: bool
-) -> None:
-    if interaction_pairs is None:
-        return
-    if len(set(interaction_pairs)) != len(interaction_pairs):
-        raise ValueError(
-            f"Duplicate interaction pairs encountered: {interaction_pairs}."
-        )
-    if not ordered:
-        for i, j in interaction_pairs:
-            if i > j:
-                raise ValueError(
-                    "When specifying alpha-alpha or beta-beta interaction pairs, "
-                    "you must provide only upper triangular pairs. "
-                    f"Got {(i, j)}, which is a lower triangular pair."
-                )
-
-
 

 [docs]
 @dataclass(frozen=True)
@@ -436,6 +418,7 @@ 
Source code for ffsim.variational.ucj_spin_balanced
        r"""Return the number of parameters of an ansatz with given settings.
 
         Args:
+            norb: The number of spatial orbitals.
             n_reps: The number of ansatz repetitions.
             interaction_pairs: Optional restrictions on allowed orbital interactions
                 for the diagonal Coulomb operators.
@@ -462,8 +445,8 @@ 
Source code for ffsim.variational.ucj_spin_balanced
if interaction_pairs is None:
             interaction_pairs = (None, None)
         pairs_aa, pairs_ab = interaction_pairs
-        _validate_interaction_pairs(pairs_aa, ordered=False)
-        _validate_interaction_pairs(pairs_ab, ordered=False)
+        validate_interaction_pairs(pairs_aa, ordered=False)
+        validate_interaction_pairs(pairs_ab, ordered=False)
         # Each diagonal Coulomb matrix has one parameter per upper triangular
         # entry unless indices are passed explicitly
         n_triu_indices = norb * (norb + 1) // 2
@@ -723,8 +706,8 @@ 
Source code for ffsim.variational.ucj_spin_balanced
if interaction_pairs is None:
             interaction_pairs = (None, None)
         pairs_aa, pairs_ab = interaction_pairs
-        _validate_interaction_pairs(pairs_aa, ordered=False)
-        _validate_interaction_pairs(pairs_ab, ordered=False)
+        validate_interaction_pairs(pairs_aa, ordered=False)
+        validate_interaction_pairs(pairs_ab, ordered=False)
 
         nocc, _, nvrt, _ = t2.shape
         norb = nocc + nvrt
@@ -870,7 +853,7 @@ 
Source code for ffsim.variational.ucj_spin_balanced

+

     
     
     
diff --git a/_modules/ffsim/variational/ucj_spin_unbalanced.html b/_modules/ffsim/variational/ucj_spin_unbalanced.html
index 7e5db6694..be68eb510 100644
--- a/_modules/ffsim/variational/ucj_spin_unbalanced.html
+++ b/_modules/ffsim/variational/ucj_spin_unbalanced.html
@@ -4,8 +4,8 @@
     
     
 
-    
-        ffsim.variational.ucj_spin_unbalanced - ffsim 0.0.47
+    
+        ffsim.variational.ucj_spin_unbalanced - ffsim 0.0.48
       
     
     
@@ -158,7 +158,7 @@
       
     

     

-      
ffsim 0.0.47

+      
ffsim 0.0.48

     

     

       

@@ -182,7 +182,7 @@
       

   
   
-  ffsim 0.0.47
+  ffsim 0.0.48
   
 
 
@@ -289,28 +289,10 @@ 
Source code for ffsim.variational.ucj_spin_unbalanced
from ffsim.variational.util import (
     orbital_rotation_from_parameters,
     orbital_rotation_to_parameters,
+    validate_interaction_pairs,
 )
 
 
-def _validate_interaction_pairs(
-    interaction_pairs: list[tuple[int, int]] | None, ordered: bool
-) -> None:
-    if interaction_pairs is None:
-        return
-    if len(set(interaction_pairs)) != len(interaction_pairs):
-        raise ValueError(
-            f"Duplicate interaction pairs encountered: {interaction_pairs}."
-        )
-    if not ordered:
-        for i, j in interaction_pairs:
-            if i > j:
-                raise ValueError(
-                    "When specifying alpha-alpha or beta-beta interaction pairs, "
-                    "you must provide only upper triangular pairs. "
-                    f"Got {(i, j)}, which is a lower triangular pair."
-                )
-
-
 

 [docs]
 @dataclass(frozen=True)
@@ -445,6 +427,7 @@ 
Source code for ffsim.variational.ucj_spin_unbalanced
        r"""Return the number of parameters of an ansatz with given settings.
 
         Args:
+            norb: The number of spatial orbitals.
             n_reps: The number of ansatz repetitions.
             interaction_pairs: Optional restrictions on allowed orbital interactions
                 for the diagonal Coulomb operators.
@@ -473,9 +456,9 @@ 
Source code for ffsim.variational.ucj_spin_unbalanced
if interaction_pairs is None:
             interaction_pairs = (None, None, None)
         pairs_aa, pairs_ab, pairs_bb = interaction_pairs
-        _validate_interaction_pairs(pairs_aa, ordered=False)
-        _validate_interaction_pairs(pairs_ab, ordered=True)
-        _validate_interaction_pairs(pairs_bb, ordered=False)
+        validate_interaction_pairs(pairs_aa, ordered=False)
+        validate_interaction_pairs(pairs_ab, ordered=True)
+        validate_interaction_pairs(pairs_bb, ordered=False)
         # Each same-spin diagonal Coulomb matrix has one parameter per upper triangular
         # entry unless indices are passed explicitly
         n_triu_indices = norb * (norb + 1) // 2
@@ -581,17 +564,28 @@ 
Source code for ffsim.variational.ucj_spin_unbalanced
)
                 index += n_params
             # Diag Coulomb matrices
-            for indices, this_diag_coulomb_mat in zip(
-                (pairs_aa, pairs_ab, pairs_bb),
-                diag_coulomb_mat,
-            ):
-                if indices:
-                    n_params = len(indices)
-                    rows, cols = zip(*indices)
-                    vals = params[index : index + n_params]
-                    this_diag_coulomb_mat[cols, rows] = vals
-                    this_diag_coulomb_mat[rows, cols] = vals
-                    index += n_params
+            # for indices, this_diag_coulomb_mat in zip(
+            #     (pairs_aa, pairs_ab, pairs_bb),
+            #     diag_coulomb_mat,
+            # ):
+            #     if indices:
+            n_params = len(pairs_aa)
+            rows, cols = zip(*pairs_aa)
+            vals = params[index : index + n_params]
+            diag_coulomb_mat[0, cols, rows] = vals
+            diag_coulomb_mat[0, rows, cols] = vals
+            index += n_params
+            n_params = len(pairs_ab)
+            rows, cols = zip(*pairs_ab)
+            vals = params[index : index + n_params]
+            diag_coulomb_mat[1, rows, cols] = vals
+            index += n_params
+            n_params = len(pairs_bb)
+            rows, cols = zip(*pairs_bb)
+            vals = params[index : index + n_params]
+            diag_coulomb_mat[2, cols, rows] = vals
+            diag_coulomb_mat[2, rows, cols] = vals
+            index += n_params
         # Final orbital rotation
         final_orbital_rotation = None
         if with_final_orbital_rotation:
@@ -783,9 +777,9 @@ 
Source code for ffsim.variational.ucj_spin_unbalanced
if interaction_pairs is None:
             interaction_pairs = (None, None, None)
         pairs_aa, pairs_ab, pairs_bb = interaction_pairs
-        _validate_interaction_pairs(pairs_aa, ordered=False)
-        _validate_interaction_pairs(pairs_bb, ordered=True)
-        _validate_interaction_pairs(pairs_bb, ordered=False)
+        validate_interaction_pairs(pairs_aa, ordered=False)
+        validate_interaction_pairs(pairs_bb, ordered=True)
+        validate_interaction_pairs(pairs_bb, ordered=False)
 
         t2aa, t2ab, t2bb = t2
         nocc_a, nocc_b, nvrt_a, _ = t2ab.shape
@@ -893,7 +887,6 @@ 
Source code for ffsim.variational.ucj_spin_unbalanced
mask = np.zeros((norb, norb), dtype=bool)
             rows, cols = zip(*pairs_ab)
             mask[rows, cols] = True
-            mask[cols, rows] = True
             diag_coulomb_mats[:, 1] *= mask
         if pairs_bb is not None:
             mask = np.zeros((norb, norb), dtype=bool)
@@ -1032,7 +1025,7 @@ 
Source code for ffsim.variational.ucj_spin_unbalanced

+

     
     
     
diff --git a/_modules/ffsim/variational/ucj_spinless.html b/_modules/ffsim/variational/ucj_spinless.html
index 3ec0b40d7..21a21cdb7 100644
--- a/_modules/ffsim/variational/ucj_spinless.html
+++ b/_modules/ffsim/variational/ucj_spinless.html
@@ -4,8 +4,8 @@
     
     
 
-    
-        ffsim.variational.ucj_spinless - ffsim 0.0.47
+    
+        ffsim.variational.ucj_spinless - ffsim 0.0.48
       
     
     
@@ -158,7 +158,7 @@
       
     

     

-      
ffsim 0.0.47

+      
ffsim 0.0.48

     

     

       

@@ -182,7 +182,7 @@
       

   
   
-  ffsim 0.0.47
+  ffsim 0.0.48
   
 
 
@@ -289,28 +289,10 @@ 
Source code for ffsim.variational.ucj_spinless
from ffsim.variational.util import (
     orbital_rotation_from_parameters,
     orbital_rotation_to_parameters,
+    validate_interaction_pairs,
 )
 
 
-def _validate_interaction_pairs(
-    interaction_pairs: list[tuple[int, int]] | None, ordered: bool
-) -> None:
-    if interaction_pairs is None:
-        return
-    if len(set(interaction_pairs)) != len(interaction_pairs):
-        raise ValueError(
-            f"Duplicate interaction pairs encountered: {interaction_pairs}."
-        )
-    if not ordered:
-        for i, j in interaction_pairs:
-            if i > j:
-                raise ValueError(
-                    "When specifying interaction pairs, "
-                    "you must provide only upper triangular pairs. "
-                    f"Got {(i, j)}, which is a lower triangular pair."
-                )
-
-
 

 [docs]
 @dataclass(frozen=True)
@@ -421,6 +403,7 @@ 
Source code for ffsim.variational.ucj_spinless
        r"""Return the number of parameters of an ansatz with given settings.
 
         Args:
+            norb: The number of spatial orbitals.
             n_reps: The number of ansatz repetitions.
             interaction_pairs: Optional restrictions on allowed orbital interactions
                 for the diagonal Coulomb operators.
@@ -440,7 +423,7 @@ 
Source code for ffsim.variational.ucj_spinless
            ValueError: Interaction pairs list contained duplicate interactions.
             ValueError: Interaction pairs list contained lower triangular pairs.
         """
-        _validate_interaction_pairs(interaction_pairs, ordered=False)
+        validate_interaction_pairs(interaction_pairs, ordered=False)
         # Each diagonal Coulomb matrix has one parameter per upper triangular
         # entry unless indices are passed explicitly
         n_triu_indices = norb * (norb + 1) // 2
@@ -659,7 +642,7 @@ 
Source code for ffsim.variational.ucj_spinless
            ValueError: Interaction pairs list contained duplicate interactions.
             ValueError: Interaction pairs list contained lower triangular pairs.
         """
-        _validate_interaction_pairs(interaction_pairs, ordered=False)
+        validate_interaction_pairs(interaction_pairs, ordered=False)
 
         nocc, _, nvrt, _ = t2.shape
         norb = nocc + nvrt
@@ -818,7 +801,7 @@ 
Source code for ffsim.variational.ucj_spinless

   

-

+

     
     
     
diff --git a/_modules/index.html b/_modules/index.html
index 79a37af11..3aab5073f 100644
--- a/_modules/index.html
+++ b/_modules/index.html
@@ -4,8 +4,8 @@
     
     
 
-    
-        Overview: module code - ffsim 0.0.47
+    
+        Overview: module code - ffsim 0.0.48
       
     
     
@@ -158,7 +158,7 @@
       
     

     

-      
ffsim 0.0.47

+      
ffsim 0.0.48

     

     

       

@@ -182,7 +182,7 @@
       

   
   
-  ffsim 0.0.47
+  ffsim 0.0.48
   
 
 
@@ -300,7 +300,6 @@ 
All modules for which code is available

 
  • ffsim.qiskit.gates.orbital_rotation
    • 
 
  • ffsim.qiskit.gates.slater_determinant
    • 
 
  • ffsim.qiskit.gates.ucj
    • 
-
  • ffsim.qiskit.gates.ucj_operator
    • 
 
  • ffsim.qiskit.jordan_wigner
    • 
 
  • ffsim.qiskit.sampler
    • 
 
  • ffsim.qiskit.sim
    • 
@@ -313,6 +312,7 @@ 
    All modules for which code is available
    
 
  • ffsim.states.bitstring
    • 
 
  • ffsim.states.product_state_sum
    • 
 
  • ffsim.states.rdm
    • 
+
  • ffsim.states.sample_slater
    • 
 
  • ffsim.states.slater
    • 
 
  • ffsim.states.states
    • 
 
  • ffsim.states.wick
    • 
@@ -324,7 +324,7 @@ 
    All modules for which code is available
    
 
  • ffsim.variational.hopgate
    • 
 
  • ffsim.variational.multireference
    • 
 
  • ffsim.variational.num_num
    • 
-
  • ffsim.variational.ucj
    • 
+
  • ffsim.variational.uccsd
    • 
 
  • ffsim.variational.ucj_spin_balanced
    • 
 
  • ffsim.variational.ucj_spin_unbalanced
    • 
 
  • ffsim.variational.ucj_spinless
    • 
@@ -360,7 +360,7 @@ 
    All modules for which code is available
    
       
     
   
    
-
    
+
    
     
     
     
diff --git a/_static/documentation_options.js b/_static/documentation_options.js
index acd6ea3f0..d5cc51dc8 100644
--- a/_static/documentation_options.js
+++ b/_static/documentation_options.js
@@ -1,5 +1,5 @@
 const DOCUMENTATION_OPTIONS = {
-    VERSION: '0.0.47',
+    VERSION: '0.0.48',
     LANGUAGE: 'en',
     COLLAPSE_INDEX: false,
     BUILDER: 'html',
diff --git a/api/ffsim.contract.html b/api/ffsim.contract.html
index e520cf6bf..cbd10b0f3 100644
--- a/api/ffsim.contract.html
+++ b/api/ffsim.contract.html
@@ -5,8 +5,8 @@
     
 
 
-    
-        ffsim.contract - ffsim 0.0.47
+    
+        ffsim.contract - ffsim 0.0.48
       
     
     
@@ -159,7 +159,7 @@
       
     
    
     
    
-      
    ffsim 0.0.47
    
+      
    ffsim 0.0.48
    
     
    
     
    
       
    
@@ -183,7 +183,7 @@
       
    
   
   
-  ffsim 0.0.47
+  ffsim 0.0.48
   
 
 
@@ -549,7 +549,7 @@
       
     
   
    
-
    
+
    
     
     
     
diff --git a/api/ffsim.html b/api/ffsim.html
index b3ae2d10b..80f6b7791 100644
--- a/api/ffsim.html
+++ b/api/ffsim.html
@@ -5,8 +5,8 @@
     
 
 
-    
-        ffsim - ffsim 0.0.47
+    
+        ffsim - ffsim 0.0.48
       
     
     
@@ -159,7 +159,7 @@
       
     
    
     
    
-      
    ffsim 0.0.47
    
+      
    ffsim 0.0.48
    
     
    
     
    
       
    
@@ -183,7 +183,7 @@
       
    
   
   
-  ffsim 0.0.47
+  ffsim 0.0.48
   
 
 
@@ -880,83 +880,6 @@
 
 
 
-
    
-
    
-class ffsim.GivensAnsatzOperator(norb, interaction_pairs, thetas)[source]
    
-
    Bases: object
    
-
    A Givens rotation ansatz operator.
    
-
    
-
    Warning
    
-
    This class is deprecated. Use ffsim.GivensAnsatzOp instead.
    
-
    
-
    The Givens rotation ansatz consists of a sequence of Givens rotations.
    
-
    Note that this ansatz does not implement any interactions between spin alpha and
-spin beta orbitals.
    
-
    
-
    
-norb
    
-
    The number of spatial orbitals.
    
-
    
-
    Type:
    
-
    int
    
-
    
-
    
-
    
-
-
    
-
    
-interaction_pairs
    
-
    The orbital pairs to apply the Givens
-rotations to.
    
-
    
-
    Type:
    
-
    list[tuple[int, int]]
    
-
    
-
    
-
    
-
-
    
-
    
-thetas
    
-
    The angles for the Givens rotations.
    
-
    
-
    Type:
    
-
    np.ndarray
    
-
    
-
    
-
    
-
-
    
-
    
-static from_parameters(params, norb, interaction_pairs)[source]
    
-
    Initialize the operator from a real-valued parameter vector.
    
-
    
-
    Parameters:
    
-
      
-
    • params (ndarray) – The real-valued parameter vector.
      • 
-
    • norb (int) – The number of spatial orbitals.
      • 
-
    • interaction_pairs (list[tuple[int, int]]) – The orbital pairs to apply the Givens rotation gates to.
      • 
-
    
-
    
-
    Return type:
    
-
    GivensAnsatzOperator
    
-
    
-
    
-
    
-
-
    
-
    
-to_parameters()[source]
    
-
    Convert the operator to a real-valued parameter vector.
    
-
    
-
    Return type:
    
-
    ndarray
    
-
    
-
    
-
    
-
-
    
-
 
    
 
    
 class ffsim.HopGateAnsatzOperator(norb, interaction_pairs, thetas, final_orbital_rotation=None)[source]
    
@@ -1726,7 +1649,7 @@
 
    Return the number of parameters of an ansatz with given settings.
    
 
    
 
    Parameters:
    
-
    interaction_pairs (list[tuple[int, int]]) – The orbital pairs to apply the number-number interactions
+
    interaction_pairs (tuple[list[tuple[int, int]], list[tuple[int, int]]]) – The orbital pairs to apply the number-number interactions
 to.
    
 
    
 
    Return type:
    
@@ -1793,192 +1716,6 @@
 
 
    
 
-
    
-
    
-class ffsim.RealUCJOperator(diag_coulomb_mats_alpha_alpha, diag_coulomb_mats_alpha_beta, orbital_rotations, final_orbital_rotation=None)[source]
    
-
    Bases: object
    
-
    Real-valued unitary cluster Jastrow operator.
    
-
    
-
    Warning
    
-
    The RealUCJOperator class is deprecated. Use ffsim.UCJOpSpinBalanced
-instead.
    
-
    
-
    A real-valued unitary cluster Jastrow (UCJ) operator has the form
    
-
    
-
    
-\[\prod_{k = 1}^L
-\mathcal{W_k^*} e^{i \mathcal{-J}_k} \mathcal{W_k}^T
-\mathcal{W_k} e^{i \mathcal{J}_k} \mathcal{W_k^\dagger}\]
    
-
    
-
    where each \(\mathcal{W_k}\) is an orbital rotation and each \(\mathcal{J}\)
-is a diagonal Coulomb operator of the form
    
-
    
-
    
-\[\mathcal{J} = \frac12\sum_{ij,\sigma \tau}
-\mathbf{J}^{\sigma \tau}_{ij} n_{i,\sigma} n_{j,\tau}.\]
    
-
    
-
    In order that the operator commutes with the total spin Z operator, we enforce that
-\(\mathbf{J}^{\alpha\alpha} = \mathbf{J}^{\beta\beta}\) and
-\(\mathbf{J}^{\alpha\beta} = \mathbf{J}^{\beta\alpha}\). As a result, we have
-two sets of matrices for describing the diagonal Coulomb operators:
-“alpha-alpha” matrices containing coefficients for terms involving the same spin,
-and “alpha-beta” matrices containing coefficients for terms involving different
-spins.
    
-
    To support variational optimization of the orbital basis, an optional final
-orbital rotation can be included in the operator, to be performed at the end.
    
-
    
-
    
-diag_coulomb_mats_alpha_alpha
    
-
    The “alpha-alpha” diagonal Coulomb matrices.
    
-
    
-
-
    
-
    
-diag_coulomb_mats_alpha_beta
    
-
    The “alpha-beta” diagonal Coulomb matrices.
    
-
    
-
-
    
-
    
-orbital_rotations
    
-
    The orbital rotations.
    
-
    
-
-
    
-
    
-final_orbital_rotation
    
-
    The optional final orbital rotation.
    
-
    
-
-
    
-
    
-static from_parameters(params, *, norb, n_reps, alpha_alpha_indices=None, alpha_beta_indices=None, with_final_orbital_rotation=False)[source]
    
-
    Initialize the real UCJ operator from a real-valued parameter vector.
    
-
    
-
    Parameters:
    
-
      
-
    • params (ndarray) – The real-valued parameter vector.
      • 
-
    • norb (int) – The number of spatial orbitals.
      • 
-
    • n_reps (int) – The number of ansatz repetitions (\(L\) from the docstring of
-this class).
      • 
-
    • alpha_alpha_indices (list[tuple[int, int]] | None) – Allowed indices for nonzero values of the “alpha-alpha”
-diagonal Coulomb matrices (see the docstring of this class).
-If not specified, all matrix entries are allowed to be nonzero.
-This list should contain only upper trianglular indices, i.e.,
-pairs \((i, j)\) where \(i \leq j\). Passing a list with
-lower triangular indices will raise an error.
      • 
-
    • alpha_beta_indices (list[tuple[int, int]] | None) – Allowed indices for nonzero values of the “alpha-beta”
-diagonal Coulomb matrices (see the docstring of this class).
-If not specified, all matrix entries are allowed to be nonzero.
-This list should contain only upper trianglular indices, i.e.,
-pairs \((i, j)\) where \(i \leq j\). Passing a list with
-lower triangular indices will raise an error.
      • 
-
    • with_final_orbital_rotation (bool) – Whether to include a final orbital rotation
-in the operator.
      • 
-
    
-
    
-
    Return type:
    
-
    RealUCJOperator
    
-
    
-
    Returns:
    
-
    The real UCJ operator constructed from the given parameters.
    
-
    
-
    Raises:
    
-
      
-
    • ValueError – alpha_alpha_indices contains lower triangular indices.
      • 
-
    • ValueError – alpha_beta_indices contains lower triangular indices.
      • 
-
    
-
    
-
    
-
    
-
-
    
-
    
-static from_t_amplitudes(t2, *, t1=None, n_reps=None, tol=1e-08)[source]
    
-
    Initialize the real UCJ operator from t2 (and optionally t1) amplitudes.
    
-
    
-
    Return type:
    
-
    RealUCJOperator
    
-
    
-
    
-
    
-
-
    
-
    
-static n_params(norb, n_reps, *, alpha_alpha_indices=None, alpha_beta_indices=None, with_final_orbital_rotation=False)[source]
    
-
    Return the number of parameters of an ansatz with given settings.
    
-
    
-
    Return type:
    
-
    int
    
-
    
-
    
-
    
-
-
    
-
    
-property n_reps
    
-
    The number of ansatz repetitions.
    
-
    
-
-
    
-
    
-property norb
    
-
    The number of spatial orbitals.
    
-
    
-
-
    
-
    
-to_parameters(*, alpha_alpha_indices=None, alpha_beta_indices=None)[source]
    
-
    Convert the real UCJ operator to a real-valued parameter vector.
    
-
    If alpha_alpha_indices or alpha_beta_indices is specified, the returned
-parameter vector will incorporate only the diagonal Coulomb matrix entries
-corresponding to the given indices, so the original operator will not be
-recoverable from the parameter vector.
    
-
    
-
    Parameters:
    
-
      
-
    • alpha_alpha_indices (list[tuple[int, int]] | None) – Allowed indices for nonzero values of the “alpha-alpha”
-diagonal Coulomb matrices (see the docstring of this class).
-If not specified, all matrix entries are allowed to be nonzero.
-This list should contain only upper trianglular indices, i.e.,
-pairs \((i, j)\) where \(i \leq j\). Passing a list with
-lower triangular indices will raise an error.
      • 
-
    • alpha_beta_indices (list[tuple[int, int]] | None) – Allowed indices for nonzero values of the “alpha-beta”
-diagonal Coulomb matrices (see the docstring of this class).
-If not specified, all matrix entries are allowed to be nonzero.
-This list should contain only upper trianglular indices, i.e.,
-pairs \((i, j)\) where \(i \leq j\). Passing a list with
-lower triangular indices will raise an error.
      • 
-
    
-
    
-
    Return type:
    
-
    ndarray
    
-
    
-
    Returns:
    
-
    The real-valued parameter vector.
    
-
    
-
    Raises:
    
-
      
-
    • ValueError – alpha_alpha_indices contains lower triangular indices.
      • 
-
    • ValueError – alpha_beta_indices contains lower triangular indices.
      • 
-
    
-
    
-
    
-
    
-
-
    
-
    
-to_t_amplitudes(nocc=None)[source]
    
-
    Convert the UCJ operator to t2 (and possibly t1) amplitudes.
    
-
    
-
    Return type:
    
-
    ndarray | tuple[ndarray, ndarray]
    
-
    
-
    
-
    
-
-
    
-
 
    
 
    
 class ffsim.SingleFactorizedHamiltonian(one_body_tensor, one_body_squares, constant=0.0)[source]
    
@@ -2213,6 +1950,82 @@
 
    A linear operator whose trace can be computed.
    
 
    
 
+
    
+
    
+class ffsim.UCCSDOpRestrictedReal(t1, t2, final_orbital_rotation=None, validate=True, rtol=1e-05, atol=1e-08)[source]
    
+
    Bases: object
    
+
    Real-valued restricted unitary coupled cluster, singles and doubles operator.
    
+
    
+
    
+static from_parameters(params, *, norb, nocc, with_final_orbital_rotation=False)[source]
    
+
    Initialize the UCCSD operator from a real-valued parameter vector.
    
+
    
+
    Parameters:
    
+
      
+
    • params (ndarray) – The real-valued parameter vector.
      • 
+
    • norb (int) – The number of spatial orbitals.
      • 
+
    • nocc (int) – The number of spatial orbitals that are occupied by electrons.
      • 
+
    • with_final_orbital_rotation (bool) – Whether to include a final orbital rotation
+in the operator.
      • 
+
    
+
    
+
    Return type:
    
+
    UCCSDOpRestrictedReal
    
+
    
+
    Returns:
    
+
    The UCCSD operator constructed from the given parameters.
    
+
    
+
    Raises:
    
+
    ValueError – The number of parameters passed did not match the number
+    expected based on the function inputs.
    
+
    
+
    
+
    
+
+
    
+
    
+static n_params(norb, nocc, *, with_final_orbital_rotation=False)[source]
    
+
    Return the number of parameters of an ansatz with given settings.
    
+
    
+
    Parameters:
    
+
      
+
    • norb (int) – The number of spatial orbitals.
      • 
+
    • nocc (int) – The number of spatial orbitals that are occupied by electrons.
      • 
+
    • with_final_orbital_rotation (bool) – Whether to include a final orbital rotation
+in the operator.
      • 
+
    
+
    
+
    Return type:
    
+
    int
    
+
    
+
    Returns:
    
+
    The number of parameters of the ansatz.
    
+
    
+
    
+
    
+
+
    
+
    
+property norb
    
+
    The number of spatial orbitals.
    
+
    
+
+
    
+
    
+to_parameters()[source]
    
+
    Convert the UCCSD operator to a real-valued parameter vector.
    
+
    
+
    Return type:
    
+
    ndarray
    
+
    
+
    Returns:
    
+
    The real-valued parameter vector.
    
+
    
+
    
+
    
+
+
    
+
 
    
 
    
 class ffsim.UCJOpSpinBalanced(diag_coulomb_mats, orbital_rotations, final_orbital_rotation=None, validate=True, rtol=1e-05, atol=1e-08)[source]
    
@@ -2385,6 +2198,7 @@
 
    
 
    Parameters:
    
 
      
+
    • norb (int) – The number of spatial orbitals.
      • 
 
    • n_reps (int) – The number of ansatz repetitions.
      • 
 
    • interaction_pairs (tuple[list[tuple[int, int]] | None, list[tuple[int, int]] | None] | None) – Optional restrictions on allowed orbital interactions
 for the diagonal Coulomb operators.
@@ -2661,6 +2475,7 @@
 
      
 
      Parameters:
      
 
        
+
      • norb (int) – The number of spatial orbitals.
        • 
 
      • n_reps (int) – The number of ansatz repetitions.
        • 
 
      • interaction_pairs (tuple[list[tuple[int, int]] | None, list[tuple[int, int]] | None, list[tuple[int, int]] | None] | None) – Optional restrictions on allowed orbital interactions
 for the diagonal Coulomb operators.
@@ -2905,6 +2720,7 @@
 
        
 
        Parameters:
        
 
          
+
        • norb (int) – The number of spatial orbitals.
          • 
 
        • n_reps (int) – The number of ansatz repetitions.
          • 
 
        • interaction_pairs (list[tuple[int, int]] | None) – Optional restrictions on allowed orbital interactions
 for the diagonal Coulomb operators.
@@ -2984,212 +2800,6 @@
 
 
        
 
-
        
-
        
-class ffsim.UCJOperator(diag_coulomb_mats_alpha_alpha, diag_coulomb_mats_alpha_beta, orbital_rotations, final_orbital_rotation=None)[source]
        
-
        Bases: object
        
-
        A unitary cluster Jastrow operator.
        
-
        
-
        Warning
        
-
        The UCJOperator class is deprecated. Use ffsim.UCJOpSpinBalanced
-instead.
        
-
        
-
        A unitary cluster Jastrow (UCJ) operator has the form
        
-
        
-
        
-\[\prod_{k = 1}^L \mathcal{W}_k e^{i \mathcal{J}_k} \mathcal{W}_k^\dagger\]
        
-
        
-
        where each \(\mathcal{W_k}\) is an orbital rotation and each \(\mathcal{J}\)
-is a diagonal Coulomb operator of the form
        
-
        
-
        
-\[\mathcal{J} = \frac12\sum_{\sigma \tau, ij}
-\mathbf{J}^{\sigma \tau}_{ij} n_{\sigma, i} n_{\tau, j}.\]
        
-
        
-
        In order that the operator commutes with the total spin Z operator, we enforce that
-\(\mathbf{J}^{\alpha\alpha} = \mathbf{J}^{\beta\beta}\) and
-\(\mathbf{J}^{\alpha\beta} = \mathbf{J}^{\beta\alpha}\). As a result, we have
-two sets of matrices for describing the diagonal Coulomb operators:
-“alpha-alpha” matrices containing coefficients for terms involving the same spin,
-and “alpha-beta” matrices containing coefficients for terms involving different
-spins.
        
-
        To support variational optimization of the orbital basis, an optional final
-orbital rotation can be included in the operator, to be performed at the end.
        
-
        
-
        
-diag_coulomb_mats_alpha_alpha
        
-
        The “alpha-alpha” diagonal Coulomb
-matrices.
        
-
        
-
        Type:
        
-
        np.ndarray
        
-
        
-
        
-
        
-
-
        
-
        
-diag_coulomb_mats_alpha_beta
        
-
        The “alpha-beta” diagonal Coulomb
-matrices.
        
-
        
-
        Type:
        
-
        np.ndarray
        
-
        
-
        
-
        
-
-
        
-
        
-orbital_rotations
        
-
        The orbital rotations.
        
-
        
-
        Type:
        
-
        np.ndarray
        
-
        
-
        
-
        
-
-
        
-
        
-final_orbital_rotation
        
-
        The optional final orbital rotation.
        
-
        
-
        Type:
        
-
        np.ndarray
        
-
        
-
        
-
        
-
-
        
-
        
-static from_parameters(params, *, norb, n_reps, alpha_alpha_indices=None, alpha_beta_indices=None, with_final_orbital_rotation=False)[source]
        
-
        Initialize the UCJ operator from a real-valued parameter vector.
        
-
        
-
        Parameters:
        
-
          
-
        • params (ndarray) – The real-valued parameter vector.
          • 
-
        • norb (int) – The number of spatial orbitals.
          • 
-
        • n_reps (int) – The number of ansatz repetitions (\(L\) from the docstring of
-this class).
          • 
-
        • alpha_alpha_indices (list[tuple[int, int]] | None) – Allowed indices for nonzero values of the “alpha-alpha”
-diagonal Coulomb matrices (see the docstring of this class).
-If not specified, all matrix entries are allowed to be nonzero.
-This list should contain only upper trianglular indices, i.e.,
-pairs \((i, j)\) where \(i \leq j\). Passing a list with
-lower triangular indices will raise an error.
          • 
-
        • alpha_beta_indices (list[tuple[int, int]] | None) – Allowed indices for nonzero values of the “alpha-beta”
-diagonal Coulomb matrices (see the docstring of this class).
-If not specified, all matrix entries are allowed to be nonzero.
-This list should contain only upper trianglular indices, i.e.,
-pairs \((i, j)\) where \(i \leq j\). Passing a list with
-lower triangular indices will raise an error.
          • 
-
        • with_final_orbital_rotation (bool) – Whether to include a final orbital rotation
-in the operator.
          • 
-
        
-
        
-
        Return type:
        
-
        UCJOperator
        
-
        
-
        Returns:
        
-
        The UCJ operator constructed from the given parameters.
        
-
        
-
        Raises:
        
-
          
-
        • ValueError – alpha_alpha_indices contains lower triangular indices.
          • 
-
        • ValueError – alpha_beta_indices contains lower triangular indices.
          • 
-
        
-
        
-
        
-
        
-
-
        
-
        
-static from_t_amplitudes(t2, *, t1=None, n_reps=None, tol=1e-08)[source]
        
-
        Initialize the UCJ operator from t2 (and optionally t1) amplitudes.
        
-
        
-
        Return type:
        
-
        UCJOperator
        
-
        
-
        
-
        
-
-
        
-
        
-static n_params(norb, n_reps, *, alpha_alpha_indices=None, alpha_beta_indices=None, with_final_orbital_rotation=False)[source]
        
-
        Return the number of parameters of an ansatz with given settings.
        
-
        
-
        Return type:
        
-
        int
        
-
        
-
        
-
        
-
-
        
-
        
-property n_reps
        
-
        The number of ansatz repetitions.
        
-
        
-
-
        
-
        
-property norb
        
-
        The number of spatial orbitals.
        
-
        
-
-
        
-
        
-to_parameters(*, alpha_alpha_indices=None, alpha_beta_indices=None)[source]
        
-
        Convert the UCJ operator to a real-valued parameter vector.
        
-
        If alpha_alpha_indices or alpha_beta_indices is specified, the returned
-parameter vector will incorporate only the diagonal Coulomb matrix entries
-corresponding to the given indices, so the original operator will not be
-recoverable from the parameter vector.
        
-
        
-
        Parameters:
        
-
          
-
        • alpha_alpha_indices (list[tuple[int, int]] | None) – Allowed indices for nonzero values of the “alpha-alpha”
-diagonal Coulomb matrices (see the docstring of this class).
-If not specified, all matrix entries are allowed to be nonzero.
-This list should contain only upper trianglular indices, i.e.,
-pairs \((i, j)\) where \(i \leq j\). Passing a list with
-lower triangular indices will raise an error.
          • 
-
        • alpha_beta_indices (list[tuple[int, int]] | None) – Allowed indices for nonzero values of the “alpha-beta”
-diagonal Coulomb matrices (see the docstring of this class).
-If not specified, all matrix entries are allowed to be nonzero.
-This list should contain only upper trianglular indices, i.e.,
-pairs \((i, j)\) where \(i \leq j\). Passing a list with
-lower triangular indices will raise an error.
          • 
-
        
-
        
-
        Return type:
        
-
        ndarray
        
-
        
-
        Returns:
        
-
        The real-valued parameter vector.
        
-
        
-
        Raises:
        
-
          
-
        • ValueError – alpha_alpha_indices contains lower triangular indices.
          • 
-
        • ValueError – alpha_beta_indices contains lower triangular indices.
          • 
-
        
-
        
-
        
-
        
-
-
        
-
        
-to_t_amplitudes(nocc=None)[source]
        
-
        Convert the UCJ operator to t2 (and possibly t1) amplitudes.
        
-
        
-
        Return type:
        
-
        ndarray | tuple[ndarray, ndarray]
        
-
        
-
        
-
        
-
-
        
-
 
        
 
        
 ffsim.addresses_to_strings(addresses, norb, nelec, concatenate=True, bitstring_type=BitstringType.INT)[source]
        
@@ -4296,7 +3906,7 @@
 
 
        
 
        
-ffsim.hartree_fock_state(norb, nelec)[source]
        
+ffsim.hartree_fock_state(norb, nelec)[source]
 
        Return the Hartree-Fock state.
        
 
        
 
        Parameters:
        
@@ -4627,7 +4237,7 @@
 
 
        
 
        
-ffsim.sample_slater_determinant(rdm, norb, nelec, *, orbs=None, shots=1, concatenate=True, bitstring_type=BitstringType.STRING, seed=None)[source]
        
+ffsim.sample_slater_determinant(rdm, norb, nelec, *, orbs=None, shots=1, concatenate=True, bitstring_type=BitstringType.STRING, seed=None)[source]
 
        Collect samples of electronic configurations from a Slater determinant.
        
 
        The Slater determinant is defined by its one-body reduced density matrix (RDM).
 The sampler uses a determinantal point process to auto-regressively produce
@@ -4825,7 +4435,7 @@
 
 
        
 
        
-ffsim.slater_determinant(norb, occupied_orbitals, orbital_rotation=None)[source]
        
+ffsim.slater_determinant(norb, occupied_orbitals, orbital_rotation=None)[source]
 
        Return a Slater determinant.
        
 
        A Slater determinant is a state of the form
        
 
        
@@ -4861,9 +4471,40 @@
 
        
 
        
 
+
        
+
        
+ffsim.slater_determinant_amplitudes(bitstrings, norb, occupied_orbitals, orbital_rotation)[source]
        
+
        Compute state vector amplitudes for a Slater determinant.
        
+
        
+
        Parameters:
        
+
          
+
        • bitstrings (Sequence[int] | tuple[Sequence[int], Sequence[int]]) – The bitstrings to return the amplitudes for, in integer
+representation. In the spinless case this is a list of integers. In the
+spinful case, this is a pair of lists of equal length specifying the
+alpha and beta parts of the bitstrings.
          • 
+
        • norb (int) – The number of spatial orbitals.
          • 
+
        • occupied_orbitals (Sequence[int] | tuple[Sequence[int], Sequence[int]]) – The occupied orbitals in the electronic configuration.
+This is either a list of integers specifying spinless orbitals, or a
+pair of lists, where the first list specifies the spin alpha orbitals and
+the second list specifies the spin beta orbitals.
          • 
+
        • orbital_rotation (ndarray | tuple[ndarray, ndarray]) – The orbital rotation describing the Slater determinant.
+You can pass either a single Numpy array specifying the orbital rotation
+to apply to both spin sectors, or you can pass a pair of Numpy arrays
+specifying independent orbital rotations for spin alpha and spin beta.
          • 
+
        
+
        
+
        Return type:
        
+
        ndarray
        
+
        
+
        Returns:
        
+
        The amplitudes of the requested bitstrings.
        
+
        
+
        
+
        
+
 
        
 
        
-ffsim.slater_determinant_rdm(norb, occupied_orbitals, orbital_rotation=None, rank=1, spin_summed=True)[source]
        
+ffsim.slater_determinant_rdm(norb, occupied_orbitals, orbital_rotation=None, rank=1, spin_summed=True)[source]
 
        Return the reduced density matrix of a Slater determinant.
        
 
        
 
        Warning
        
@@ -4904,7 +4545,7 @@
 
 
        
 
        
-ffsim.slater_determinant_rdms(norb, occupied_orbitals, orbital_rotation=None, *, rank=1)[source]
        
+ffsim.slater_determinant_rdms(norb, occupied_orbitals, orbital_rotation=None, *, rank=1)[source]
 
        Return the reduced density matrices of a Slater determinant.
        
 
        
 
        Note
        
@@ -5185,14 +4826,6 @@
 
      • GivensAnsatzOp.to_parameters()
        • 
 
      
 
      • 
-
    • GivensAnsatzOperator
-
      • 
 
    • HopGateAnsatzOperator
 
      • 
-
    • RealUCJOperator
-
      • 
 
    • SingleFactorizedHamiltonian
    
-
    
+
    
     
     
     
diff --git a/api/ffsim.linalg.html b/api/ffsim.linalg.html
index daf308b83..a06565674 100644
--- a/api/ffsim.linalg.html
+++ b/api/ffsim.linalg.html
@@ -5,8 +5,8 @@
     
 
 
-    
-        ffsim.linalg - ffsim 0.0.47
+    
+        ffsim.linalg - ffsim 0.0.48
       
     
     
@@ -159,7 +159,7 @@
       
     
    
     
    
-      
    ffsim 0.0.47
    
+      
    ffsim 0.0.48
    
     
    
     
    
       
    
@@ -183,7 +183,7 @@
       
    
   
   
-  ffsim 0.0.47
+  ffsim 0.0.48
   
 
 
@@ -964,7 +964,7 @@
       
     
   
    
-
    
+
    
     
     
     
diff --git a/api/ffsim.optimize.html b/api/ffsim.optimize.html
index b6796e162..1321f3c47 100644
--- a/api/ffsim.optimize.html
+++ b/api/ffsim.optimize.html
@@ -5,8 +5,8 @@
     
 
 
-    
-        ffsim.optimize - ffsim 0.0.47
+    
+        ffsim.optimize - ffsim 0.0.48
       
     
     
@@ -159,7 +159,7 @@
       
     
    
     
    
-      
    ffsim 0.0.47
    
+      
    ffsim 0.0.48
    
     
    
     
    
       
    
@@ -183,7 +183,7 @@
       
    
   
   
-  ffsim 0.0.47
+  ffsim 0.0.48
   
 
 
@@ -429,7 +429,7 @@
       
     
   
    
-
    
+
    
     
     
     
diff --git a/api/ffsim.qiskit.html b/api/ffsim.qiskit.html
index 234844f5c..8ca434397 100644
--- a/api/ffsim.qiskit.html
+++ b/api/ffsim.qiskit.html
@@ -5,8 +5,8 @@
     
 
 
-    
-        ffsim.qiskit - ffsim 0.0.47
+    
+        ffsim.qiskit - ffsim 0.0.48
       
     
     
@@ -159,7 +159,7 @@
       
     
    
     
    
-      
    ffsim 0.0.47
    
+      
    ffsim 0.0.48
    
     
    
     
    
       
    
@@ -183,7 +183,7 @@
       
    
   
   
-  ffsim 0.0.47
+  ffsim 0.0.48
   
 
 
@@ -492,80 +492,6 @@
 
 
 
-
    
-
    
-class ffsim.qiskit.GivensAnsatzOperatorJW(givens_ansatz_operator, *, label=None)[source]
    
-
    Bases: Gate
    
-
    Givens rotation ansatz operator under the Jordan-Wigner transformation.
    
-
    
-
    Warning
    
-
    This class is deprecated. Use ffsim.qiskit.GivensAnsatzOpJW instead.
    
-
    
-
    See ffsim.GivensAnsatzOperator for a description of this gate’s unitary.
    
-
    
-
    
-__init__(givens_ansatz_operator, *, label=None)[source]
    
-
    Create a new Givens ansatz operator gate.
    
-
    
-
    Parameters:
    
-
      
-
    • givens_ansatz_operator (GivensAnsatzOperator) – The Givens rotation ansatz operator.
      • 
-
    • label (str | None) – The label of the gate.
      • 
-
    
-
    
-
    
-
    
-
-
    
-
    
-__init_subclass__()
    
-
    This method is called when a class is subclassed.
    
-
    The default implementation does nothing. It may be
-overridden to extend subclasses.
    
-
    
-
-
    
-
    
-static __new__(*args, **kwargs)
    
-
    
-
-
    
-
-
    
-
    
-class ffsim.qiskit.GivensAnsatzOperatorSpinlessJW(givens_ansatz_operator, *, label=None)[source]
    
-
    Bases: Gate
    
-
    Givens rotation ansatz operator under the Jordan-Wigner transformation, spinless.
    
-
    Like GivensAnsatzOperatorJW but only acts on a single spin species.
    
-
    
-
    
-__init__(givens_ansatz_operator, *, label=None)[source]
    
-
    Create a new Givens ansatz operator gate.
    
-
    
-
    Parameters:
    
-
      
-
    • givens_ansatz_operator (GivensAnsatzOperator) – The Givens rotation ansatz operator.
      • 
-
    • label (str | None) – The label of the gate.
      • 
-
    
-
    
-
    
-
    
-
-
    
-
    
-__init_subclass__()
    
-
    This method is called when a class is subclassed.
    
-
    The default implementation does nothing. It may be
-overridden to extend subclasses.
    
-
    
-
-
    
-
    
-static __new__(*args, **kwargs)
    
-
    
-
-
    
-
 
    
 
    
 class ffsim.qiskit.MergeOrbitalRotations(*args, **kwargs)[source]
    
@@ -1064,48 +990,6 @@
 
 
    
 
-
    
-
    
-class ffsim.qiskit.UCJOperatorJW(ucj_operator, *, label=None)[source]
    
-
    Bases: Gate
    
-
    Unitary cluster Jastrow operator under the Jordan-Wigner transformation.
    
-
    
-
    Warning
    
-
    This class is deprecated. Use ffsim.qiskit.UCJOpSpinBalancedJW instead.
    
-
    
-
    See ffsim.UCJOperator for a description of this gate’s unitary.
    
-
    This gate assumes that qubits are ordered such that the first norb qubits
-correspond to the alpha orbitals and the last norb qubits correspond to the
-beta orbitals.
    
-
    
-
    
-__init__(ucj_operator, *, label=None)[source]
    
-
    Create a new unitary cluster Jastrow (UCJ) gate.
    
-
    
-
    Parameters:
    
-
      
-
    • ucj_operator (UCJOperator) – The UCJ operator.
      • 
-
    • label (str | None) – The label of the gate.
      • 
-
    
-
    
-
    
-
    
-
-
    
-
    
-__init_subclass__()
    
-
    This method is called when a class is subclassed.
    
-
    The default implementation does nothing. It may be
-overridden to extend subclasses.
    
-
    
-
-
    
-
    
-static __new__(*args, **kwargs)
    
-
    
-
-
    
-
 
    
 
    
 ffsim.qiskit.ffsim_vec_to_qiskit_vec(vec, norb, nelec)[source]
    
@@ -1183,7 +1067,7 @@
 :rtype: Iterator[BasePass]
    
 
 
-
  • GivensAnsatzOperatorJW
-
    • 
-
  • GivensAnsatzOperatorSpinlessJW
-
    • 
 
  • MergeOrbitalRotations
@@ -1374,12 +1246,6 @@
 
  • UCJOpSpinlessJW.__init__()
    • 
 
 
-
  • UCJOperatorJW
-
    • 
 
  • ffsim_vec_to_qiskit_vec()
    • 
 
  • final_state_vector()
    • 
 
  • jordan_wigner()
    • 
@@ -1396,7 +1262,7 @@
       
     
   
    
-
    
+
    
     
     
     
diff --git a/api/ffsim.random.html b/api/ffsim.random.html
index 63f40787a..8640ed11a 100644
--- a/api/ffsim.random.html
+++ b/api/ffsim.random.html
@@ -5,8 +5,8 @@
     
 
 
-    
-        ffsim.random - ffsim 0.0.47
+    
+        ffsim.random - ffsim 0.0.48
       
     
     
@@ -159,7 +159,7 @@
       
     
    
     
    
-      
    ffsim 0.0.47
    
+      
    ffsim 0.0.48
    
     
    
     
    
       
    
@@ -183,7 +183,7 @@
       
    
   
   
-  ffsim 0.0.47
+  ffsim 0.0.48
   
 
 
@@ -611,46 +611,59 @@
 
 
 
    
-
    
-ffsim.random.random_ucj_op_spin_balanced(norb, *, n_reps=1, with_final_orbital_rotation=False, seed=None)[source]
    
-
    Sample a random spin-balanced unitary cluster Jastrow (UCJ) operator.
    
+
    
+ffsim.random.random_uccsd_restricted(norb, nocc, *, with_final_orbital_rotation=False, real=False, seed=None)[source]
    
+
    Sample a random UCCSD operator.
    
 
    
 
    Parameters:
    
 
      
 
    • norb (int) – The number of spatial orbitals.
      • 
-
    • n_reps (int) – The number of ansatz repetitions.
      • 
+
    • nocc (int) – The number of spatial orbitals that are occupied by electrons.
      • 
 
    • with_final_orbital_rotation (bool) – Whether to include a final orbital rotation
 in the operator.
      • 
+
    • real (bool) – Whether to sample a real-valued object rather than a complex-valued one.
      • 
 
    • seed – A seed to initialize the pseudorandom number generator.
 Should be a valid input to np.random.default_rng.
      • 
 
    
 
    
 
    Return type:
    
-
    UCJOpSpinBalanced
    
+
    UCCSDOpRestrictedReal
    
 
    
 
    Returns:
    
-
    The sampled UCJ operator.
    
+
    The sampled UCCSD operator.
    
 
    
 
    
 
    
 
 
    
-
    
-ffsim.random.random_ucj_op_spin_unbalanced(norb, *, n_reps=1, with_final_orbital_rotation=False, seed=None)[source]
    
-
    Sample a random spin-unbalanced unitary cluster Jastrow (UCJ) operator.
    
+
    
+ffsim.random.random_ucj_op_spin_balanced(norb, *, n_reps=1, with_final_orbital_rotation=False, interaction_pairs=None, seed=None)[source]
    
+
    Sample a random spin-balanced unitary cluster Jastrow (UCJ) operator.
    
 
    
 
    Parameters:
    
 
      
-
    • norb (int) – The number of orbitals.
      • 
+
    • norb (int) – The number of spatial orbitals.
      • 
 
    • n_reps (int) – The number of ansatz repetitions.
      • 
 
    • with_final_orbital_rotation (bool) – Whether to include a final orbital rotation
 in the operator.
      • 
+
    • interaction_pairs (tuple[list[tuple[int, int]] | None, list[tuple[int, int]] | None] | None) – Optional restrictions on allowed orbital interactions
+for the diagonal Coulomb operators.
+If specified, interaction_pairs should be a pair of lists,
+for alpha-alpha and alpha-beta interactions, in that order.
+Either list can be substituted with None to indicate no restrictions
+on interactions.
+Each list should contain pairs of integers representing the orbitals
+that are allowed to interact. These pairs can also be interpreted as
+indices of diagonal Coulomb matrix entries that are allowed to be
+nonzero.
+Each integer pair must be upper triangular, that is, of the form
+\((i, j)\) where \(i \leq j\).
      • 
 
    • seed – A seed to initialize the pseudorandom number generator.
 Should be a valid input to np.random.default_rng.
      • 
 
    
 
    
 
    Return type:
    
-
    UCJOpSpinUnbalanced
    
+
    UCJOpSpinBalanced
    
 
    
 
    Returns:
    
 
    The sampled UCJ operator.
    
@@ -659,14 +672,27 @@
 
    
 
 
    
-
    
-ffsim.random.random_ucj_op_spinless(norb, *, n_reps=1, with_final_orbital_rotation=False, seed=None)[source]
    
-
    Sample a random spinless unitary cluster Jastrow (UCJ) operator.
    
+
    
+ffsim.random.random_ucj_op_spin_unbalanced(norb, *, n_reps=1, interaction_pairs=None, with_final_orbital_rotation=False, seed=None)[source]
    
+
    Sample a random spin-unbalanced unitary cluster Jastrow (UCJ) operator.
    
 
    
 
    Parameters:
    
 
      
 
    • norb (int) – The number of orbitals.
      • 
 
    • n_reps (int) – The number of ansatz repetitions.
      • 
+
    • interaction_pairs (tuple[list[tuple[int, int]] | None, list[tuple[int, int]] | None, list[tuple[int, int]] | None] | None) – Optional restrictions on allowed orbital interactions
+for the diagonal Coulomb operators.
+If specified, interaction_pairs should be a tuple of 3 lists,
+for alpha-alpha, alpha-beta, and beta-beta interactions, in that order.
+Any list can be substituted with None to indicate no restrictions
+on interactions.
+Each list should contain pairs of integers representing the orbitals
+that are allowed to interact. These pairs can also be interpreted as
+indices of diagonal Coulomb matrix entries that are allowed to be
+nonzero.
+For the alpha-alpha and beta-beta interactions, each integer
+pair must be upper triangular, that is, of the form \((i, j)\) where
+\(i \leq j\).
      • 
 
    • with_final_orbital_rotation (bool) – Whether to include a final orbital rotation
 in the operator.
      • 
 
    • seed – A seed to initialize the pseudorandom number generator.
@@ -674,7 +700,7 @@
 
    
 
    
 
    Return type:
    
-
    UCJOpSpinless
    
+
    UCJOpSpinUnbalanced
    
 
    
 
    Returns:
    
 
    The sampled UCJ operator.
    
@@ -683,9 +709,9 @@
 
    
 
 
    
-
    
-ffsim.random.random_ucj_operator(norb, *, n_reps=1, with_final_orbital_rotation=False, seed=None)[source]
    
-
    Sample a random unitary cluster Jastrow (UCJ) operator.
    
+
    
+ffsim.random.random_ucj_op_spinless(norb, *, n_reps=1, interaction_pairs=None, with_final_orbital_rotation=False, seed=None)[source]
    
+
    Sample a random spinless unitary cluster Jastrow (UCJ) operator.
    
 
    
 
    Parameters:
    
 
      
@@ -693,12 +719,20 @@
 
    • n_reps (int) – The number of ansatz repetitions.
      • 
 
    • with_final_orbital_rotation (bool) – Whether to include a final orbital rotation
 in the operator.
      • 
+
    • interaction_pairs (list[tuple[int, int]] | None) – Optional restrictions on allowed orbital interactions
+for the diagonal Coulomb operators.
+If specified, interaction_pairs should be a list of integer pairs
+representing the orbitals that are allowed to interact. These pairs
+can also be interpreted as indices of diagonal Coulomb matrix entries
+that are allowed to be nonzero.
+Each integer pair must be upper triangular, that is, of the form
+\((i, j)\) where \(i \leq j\).
      • 
 
    • seed – A seed to initialize the pseudorandom number generator.
 Should be a valid input to np.random.default_rng.
      • 
 
    
 
    
 
    Return type:
    
-
    UCJOperator
    
+
    UCJOpSpinless
    
 
    
 
    Returns:
    
 
    The sampled UCJ operator.
    
@@ -804,10 +838,10 @@
 
  • random_statevector()
    • 
 
  • random_t2_amplitudes()
    • 
 
  • random_two_body_tensor()
    • 
+
  • random_uccsd_restricted()
    • 
 
  • random_ucj_op_spin_balanced()
    • 
 
  • random_ucj_op_spin_unbalanced()
    • 
 
  • random_ucj_op_spinless()
    • 
-
  • random_ucj_operator()
    • 
 
  • random_unitary()
    • 
 
 
@@ -820,10 +854,12 @@
       
     
   
    
-
    
+
    
     
     
     
     
+    
+    
     
 
\ No newline at end of file
diff --git a/api/ffsim.testing.html b/api/ffsim.testing.html
index 1261aa50f..777495851 100644
--- a/api/ffsim.testing.html
+++ b/api/ffsim.testing.html
@@ -5,8 +5,8 @@
     
 
 
-    
-        ffsim.testing - ffsim 0.0.47
+    
+        ffsim.testing - ffsim 0.0.48
       
     
     
@@ -159,7 +159,7 @@
       
     
    
     
    
-      
    ffsim 0.0.47
    
+      
    ffsim 0.0.48
    
     
    
     
    
       
    
@@ -183,7 +183,7 @@
       
    
   
   
-  ffsim 0.0.47
+  ffsim 0.0.48
   
 
 
@@ -464,7 +464,7 @@
       
     
   
    
-
    
+
    
     
     
     
diff --git a/api/index.html b/api/index.html
index 328d13239..744769b58 100644
--- a/api/index.html
+++ b/api/index.html
@@ -5,8 +5,8 @@
     
 
 
-    
-        API reference - ffsim 0.0.47
+    
+        API reference - ffsim 0.0.48
       
     
     
@@ -159,7 +159,7 @@
       
     
    
     
    
-      
    ffsim 0.0.47
    
+      
    ffsim 0.0.48
    
     
    
     
    
       
    
@@ -183,7 +183,7 @@
       
    
   
   
-  ffsim 0.0.47
+  ffsim 0.0.48
   
 
 
@@ -285,13 +285,11 @@ 
    API referenceFermionAction
 
  • FermionOperator
    • 
 
  • GivensAnsatzOp
    • 
-
  • GivensAnsatzOperator
    • 
 
  • HopGateAnsatzOperator
    • 
 
  • MolecularData
    • 
 
  • MolecularHamiltonian
    • 
 
  • NumNumAnsatzOpSpinBalanced
    • 
 
  • ProductStateSum
    • 
-
  • RealUCJOperator
    • 
 
  • SingleFactorizedHamiltonian
    • 
 
  • Spin
    • 
 
  • StateVector
    • 
@@ -301,10 +299,10 @@ 
    API referenceSupportsFermionOperator
 
  • SupportsLinearOperator
    • 
 
  • SupportsTrace
    • 
+
  • UCCSDOpRestrictedReal
    • 
 
  • UCJOpSpinBalanced
    • 
 
  • UCJOpSpinUnbalanced
    • 
 
  • UCJOpSpinless
    • 
-
  • UCJOperator
    • 
 
  • addresses_to_strings()
    • 
 
  • apply_diag_coulomb_evolution()
    • 
 
  • apply_fsim_gate()
    • 
@@ -350,6 +348,7 @@ 
    API referencesimulate_trotter_diag_coulomb_split_op()
 
  • simulate_trotter_double_factorized()
    • 
 
  • slater_determinant()
    • 
+
  • slater_determinant_amplitudes()
    • 
 
  • slater_determinant_rdm()
    • 
 
  • slater_determinant_rdms()
    • 
 
  • spin_square()
    • 
@@ -399,8 +398,6 @@ 
    API referenceFfsimSampler
 
  • GivensAnsatzOpJW
    • 
 
  • GivensAnsatzOpSpinlessJW
    • 
-
  • GivensAnsatzOperatorJW
    • 
-
  • GivensAnsatzOperatorSpinlessJW
    • 
 
  • MergeOrbitalRotations
    • 
 
  • NumNumAnsatzOpSpinBalancedJW
    • 
 
  • NumOpSumEvolutionJW
    • 
@@ -417,7 +414,6 @@ 
    API referenceUCJOpSpinBalancedJW
 
  • UCJOpSpinUnbalancedJW
    • 
 
  • UCJOpSpinlessJW
    • 
-
  • UCJOperatorJW
    • 
 
  • ffsim_vec_to_qiskit_vec()
    • 
 
  • final_state_vector()
    • 
 
  • jordan_wigner()
    • 
@@ -440,10 +436,10 @@ 
    API referencerandom_statevector()
 
  • random_t2_amplitudes()
    • 
 
  • random_two_body_tensor()
    • 
+
  • random_uccsd_restricted()
    • 
 
  • random_ucj_op_spin_balanced()
    • 
 
  • random_ucj_op_spin_unbalanced()
    • 
 
  • random_ucj_op_spinless()
    • 
-
  • random_ucj_operator()
    • 
 
  • random_unitary()
    • 
 
 
@@ -510,7 +506,7 @@ 
    API reference
+
    
     
     
     
diff --git a/explanations/double-factorized.html b/explanations/double-factorized.html
index f9c462335..1e78bca53 100644
--- a/explanations/double-factorized.html
+++ b/explanations/double-factorized.html
@@ -5,8 +5,8 @@
     
 
 
-    
-        Double-factorized representation of the molecular Hamiltonian - ffsim 0.0.47
+    
+        Double-factorized representation of the molecular Hamiltonian - ffsim 0.0.48
       
     
     
@@ -159,7 +159,7 @@
       
     
    
     
    
-      
    ffsim 0.0.47
    
+      
    ffsim 0.0.48
    
     
    
     
    
       
    
@@ -183,7 +183,7 @@
       
    
   
   
-  ffsim 0.0.47
+  ffsim 0.0.48
   
 
 
@@ -431,7 +431,7 @@ 
    Application to the double-factorized Hamiltonian
+
    
     
     
     
diff --git a/explanations/hamiltonians.html b/explanations/hamiltonians.html
index 4cefe94d6..0ca95f1b8 100644
--- a/explanations/hamiltonians.html
+++ b/explanations/hamiltonians.html
@@ -5,8 +5,8 @@
     
 
 
-    
-        Hamiltonians - ffsim 0.0.47
+    
+        Hamiltonians - ffsim 0.0.48
       
     
     
@@ -160,7 +160,7 @@
       
     
    
     
    
-      
    ffsim 0.0.47
    
+      
    ffsim 0.0.48
    
     
    
     
    
       
    
@@ -184,7 +184,7 @@
       
    
   
   
-  ffsim 0.0.47
+  ffsim 0.0.48
   
 
 
@@ -377,7 +377,7 @@ 
    Operator action via SciPy LinearOperators
 
    -np.float64(-99.55717072551563)
+np.float64(-99.55717072551556)
 
    
 
    
 
    Time evolution by the Hamiltonian can be computed using expm_multiply:
    
@@ -395,7 +395,7 @@ 
    Operator action via SciPy LinearOperators
 
    -/tmp/ipykernel_4237/2190712273.py:2: UserWarning: Trace of LinearOperator not available, it will be estimated. Provide `traceA` to ensure performance.
+/tmp/ipykernel_4175/2190712273.py:2: UserWarning: Trace of LinearOperator not available, it will be estimated. Provide `traceA` to ensure performance.
   evolved_vec = scipy.sparse.linalg.expm_multiply(-1j * time * linop, vec)
 
    
 
    
@@ -483,7 +483,7 @@ 
    Operator action via SciPy LinearOperators
+
    
     
     
     
diff --git a/explanations/hamiltonians.ipynb b/explanations/hamiltonians.ipynb
index f6b911685..2252d2655 100644
--- a/explanations/hamiltonians.ipynb
+++ b/explanations/hamiltonians.ipynb
@@ -33,10 +33,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-10-10T17:21:03.485145Z",
-     "iopub.status.busy": "2024-10-10T17:21:03.484958Z",
-     "iopub.status.idle": "2024-10-10T17:21:04.191751Z",
-     "shell.execute_reply": "2024-10-10T17:21:04.191231Z"
+     "iopub.execute_input": "2024-10-30T17:26:54.772283Z",
+     "iopub.status.busy": "2024-10-30T17:26:54.772070Z",
+     "iopub.status.idle": "2024-10-30T17:26:55.493928Z",
+     "shell.execute_reply": "2024-10-30T17:26:55.493354Z"
     }
    },
    "outputs": [],
@@ -68,10 +68,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-10-10T17:21:04.194153Z",
-     "iopub.status.busy": "2024-10-10T17:21:04.193867Z",
-     "iopub.status.idle": "2024-10-10T17:21:04.196762Z",
-     "shell.execute_reply": "2024-10-10T17:21:04.196291Z"
+     "iopub.execute_input": "2024-10-30T17:26:55.496452Z",
+     "iopub.status.busy": "2024-10-30T17:26:55.495975Z",
+     "iopub.status.idle": "2024-10-30T17:26:55.499145Z",
+     "shell.execute_reply": "2024-10-30T17:26:55.498671Z"
     }
    },
    "outputs": [],
@@ -99,10 +99,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-10-10T17:21:04.198510Z",
-     "iopub.status.busy": "2024-10-10T17:21:04.198324Z",
-     "iopub.status.idle": "2024-10-10T17:21:04.201628Z",
-     "shell.execute_reply": "2024-10-10T17:21:04.201061Z"
+     "iopub.execute_input": "2024-10-30T17:26:55.500894Z",
+     "iopub.status.busy": "2024-10-30T17:26:55.500696Z",
+     "iopub.status.idle": "2024-10-30T17:26:55.504318Z",
+     "shell.execute_reply": "2024-10-30T17:26:55.503769Z"
     }
    },
    "outputs": [],
@@ -127,10 +127,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-10-10T17:21:04.203659Z",
-     "iopub.status.busy": "2024-10-10T17:21:04.203329Z",
-     "iopub.status.idle": "2024-10-10T17:21:04.207886Z",
-     "shell.execute_reply": "2024-10-10T17:21:04.207317Z"
+     "iopub.execute_input": "2024-10-30T17:26:55.506488Z",
+     "iopub.status.busy": "2024-10-30T17:26:55.506167Z",
+     "iopub.status.idle": "2024-10-30T17:26:55.510814Z",
+     "shell.execute_reply": "2024-10-30T17:26:55.510264Z"
     }
    },
    "outputs": [],
@@ -152,17 +152,17 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-10-10T17:21:04.210160Z",
-     "iopub.status.busy": "2024-10-10T17:21:04.209747Z",
-     "iopub.status.idle": "2024-10-10T17:21:04.235530Z",
-     "shell.execute_reply": "2024-10-10T17:21:04.234960Z"
+     "iopub.execute_input": "2024-10-30T17:26:55.513724Z",
+     "iopub.status.busy": "2024-10-30T17:26:55.513306Z",
+     "iopub.status.idle": "2024-10-30T17:26:55.541337Z",
+     "shell.execute_reply": "2024-10-30T17:26:55.540634Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "np.float64(-99.55717072551563)"
+       "np.float64(-99.55717072551556)"
       ]
      },
      "execution_count": 5,
@@ -191,10 +191,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-10-10T17:21:04.270599Z",
-     "iopub.status.busy": "2024-10-10T17:21:04.270067Z",
-     "iopub.status.idle": "2024-10-10T17:21:04.933925Z",
-     "shell.execute_reply": "2024-10-10T17:21:04.933299Z"
+     "iopub.execute_input": "2024-10-30T17:26:55.572876Z",
+     "iopub.status.busy": "2024-10-30T17:26:55.572325Z",
+     "iopub.status.idle": "2024-10-30T17:26:56.238213Z",
+     "shell.execute_reply": "2024-10-30T17:26:56.237552Z"
     }
    },
    "outputs": [
@@ -202,7 +202,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_4237/2190712273.py:2: UserWarning: Trace of LinearOperator not available, it will be estimated. Provide `traceA` to ensure performance.\n",
+      "/tmp/ipykernel_4175/2190712273.py:2: UserWarning: Trace of LinearOperator not available, it will be estimated. Provide `traceA` to ensure performance.\n",
       "  evolved_vec = scipy.sparse.linalg.expm_multiply(-1j * time * linop, vec)\n"
      ]
     }
@@ -224,10 +224,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-10-10T17:21:04.937758Z",
-     "iopub.status.busy": "2024-10-10T17:21:04.936948Z",
-     "iopub.status.idle": "2024-10-10T17:21:05.616394Z",
-     "shell.execute_reply": "2024-10-10T17:21:05.615709Z"
+     "iopub.execute_input": "2024-10-30T17:26:56.240996Z",
+     "iopub.status.busy": "2024-10-30T17:26:56.240500Z",
+     "iopub.status.idle": "2024-10-30T17:26:56.847408Z",
+     "shell.execute_reply": "2024-10-30T17:26:56.846761Z"
     }
    },
    "outputs": [],
diff --git a/explanations/index.html b/explanations/index.html
index 11cbd8713..c47dd7335 100644
--- a/explanations/index.html
+++ b/explanations/index.html
@@ -5,8 +5,8 @@
     
 
 
-    
-        Explanations - ffsim 0.0.47
+    
+        Explanations - ffsim 0.0.48
       
     
     
@@ -159,7 +159,7 @@
       
     
    
     
    
-      
    ffsim 0.0.47
    
+      
    ffsim 0.0.48
    
     
    
     
    
       
    
@@ -183,7 +183,7 @@
       
    
   
   
-  ffsim 0.0.47
+  ffsim 0.0.48
   
 
 
@@ -337,7 +337,7 @@ 
    Explanations
+
    
     
     
     
diff --git a/explanations/lucj.html b/explanations/lucj.html
index e561bd1cc..bc1d69e9d 100644
--- a/explanations/lucj.html
+++ b/explanations/lucj.html
@@ -5,8 +5,8 @@
     
 
 
-    
-        The local unitary cluster Jastrow (LUCJ) ansatz - ffsim 0.0.47
+    
+        The local unitary cluster Jastrow (LUCJ) ansatz - ffsim 0.0.48
       
     
     
@@ -159,7 +159,7 @@
       
     
    
     
    
-      
    ffsim 0.0.47
    
+      
    ffsim 0.0.48
    
     
    
     
    
       
    
@@ -183,7 +183,7 @@
       
    
   
   
-  ffsim 0.0.47
+  ffsim 0.0.48
   
 
 
@@ -388,7 +388,7 @@ 
    The local UCJ (LUCJ) ansatz
+
    
     
     
     
diff --git a/explanations/orbital-rotation.html b/explanations/orbital-rotation.html
index 0ae0cb6b8..75956c66f 100644
--- a/explanations/orbital-rotation.html
+++ b/explanations/orbital-rotation.html
@@ -5,8 +5,8 @@
     
 
 
-    
-        Orbital rotations and quadratic Hamiltonians - ffsim 0.0.47
+    
+        Orbital rotations and quadratic Hamiltonians - ffsim 0.0.48
       
     
     
@@ -160,7 +160,7 @@
       
     
    
     
    
-      
    ffsim 0.0.47
    
+      
    ffsim 0.0.48
    
     
    
     
    
       
    
@@ -184,7 +184,7 @@
       
    
   
   
-  ffsim 0.0.47
+  ffsim 0.0.48
   
 
 
@@ -418,7 +418,7 @@ 
    Time evolution by a quadratic Hamiltonian
+
    
     
     
     
diff --git a/explanations/orbital-rotation.ipynb b/explanations/orbital-rotation.ipynb
index 4cae8fee3..5c278adb8 100644
--- a/explanations/orbital-rotation.ipynb
+++ b/explanations/orbital-rotation.ipynb
@@ -62,10 +62,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-10-10T17:21:08.707558Z",
-     "iopub.status.busy": "2024-10-10T17:21:08.707362Z",
-     "iopub.status.idle": "2024-10-10T17:21:09.428870Z",
-     "shell.execute_reply": "2024-10-10T17:21:09.428214Z"
+     "iopub.execute_input": "2024-10-30T17:27:00.234613Z",
+     "iopub.status.busy": "2024-10-30T17:27:00.234418Z",
+     "iopub.status.idle": "2024-10-30T17:27:00.990409Z",
+     "shell.execute_reply": "2024-10-30T17:27:00.989866Z"
     }
    },
    "outputs": [],
diff --git a/explanations/qiskit-gate-decompositions.html b/explanations/qiskit-gate-decompositions.html
index 0c6011a42..ade8155d9 100644
--- a/explanations/qiskit-gate-decompositions.html
+++ b/explanations/qiskit-gate-decompositions.html
@@ -5,8 +5,8 @@
     
 
 
-    
-        Qubit gate decompositions of fermionic gates - ffsim 0.0.47
+    
+        Qubit gate decompositions of fermionic gates - ffsim 0.0.48
       
     
     
@@ -160,7 +160,7 @@
       
     
    
     
    
-      
    ffsim 0.0.47
    
+      
    ffsim 0.0.48
    
     
    
     
    
       
    
@@ -184,7 +184,7 @@
       
    
   
   
-  ffsim 0.0.47
+  ffsim 0.0.48
   
 
 
@@ -850,7 +850,7 @@ 
    Locality in the UCJ operator
+
    
     
     
     
diff --git a/explanations/qiskit-gate-decompositions.ipynb b/explanations/qiskit-gate-decompositions.ipynb
index 64688c307..9096de595 100644
--- a/explanations/qiskit-gate-decompositions.ipynb
+++ b/explanations/qiskit-gate-decompositions.ipynb
@@ -16,10 +16,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-10-10T17:21:10.838944Z",
-     "iopub.status.busy": "2024-10-10T17:21:10.838758Z",
-     "iopub.status.idle": "2024-10-10T17:21:12.521911Z",
-     "shell.execute_reply": "2024-10-10T17:21:12.521256Z"
+     "iopub.execute_input": "2024-10-30T17:27:02.607124Z",
+     "iopub.status.busy": "2024-10-30T17:27:02.606924Z",
+     "iopub.status.idle": "2024-10-30T17:27:06.593316Z",
+     "shell.execute_reply": "2024-10-30T17:27:06.592711Z"
     }
    },
    "outputs": [
@@ -81,10 +81,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-10-10T17:21:12.524449Z",
-     "iopub.status.busy": "2024-10-10T17:21:12.523996Z",
-     "iopub.status.idle": "2024-10-10T17:21:12.732271Z",
-     "shell.execute_reply": "2024-10-10T17:21:12.731653Z"
+     "iopub.execute_input": "2024-10-30T17:27:06.595577Z",
+     "iopub.status.busy": "2024-10-30T17:27:06.595122Z",
+     "iopub.status.idle": "2024-10-30T17:27:06.806346Z",
+     "shell.execute_reply": "2024-10-30T17:27:06.805818Z"
     }
    },
    "outputs": [
@@ -119,10 +119,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-10-10T17:21:12.734452Z",
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-     "iopub.status.idle": "2024-10-10T17:21:12.844935Z",
-     "shell.execute_reply": "2024-10-10T17:21:12.844366Z"
+     "iopub.execute_input": "2024-10-30T17:27:06.808476Z",
+     "iopub.status.busy": "2024-10-30T17:27:06.808177Z",
+     "iopub.status.idle": "2024-10-30T17:27:06.918391Z",
+     "shell.execute_reply": "2024-10-30T17:27:06.917877Z"
     }
    },
    "outputs": [
@@ -156,10 +156,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-10-10T17:21:12.846966Z",
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-     "iopub.status.idle": "2024-10-10T17:21:12.957794Z",
-     "shell.execute_reply": "2024-10-10T17:21:12.957286Z"
+     "iopub.execute_input": "2024-10-30T17:27:06.920436Z",
+     "iopub.status.busy": "2024-10-30T17:27:06.920128Z",
+     "iopub.status.idle": "2024-10-30T17:27:07.032871Z",
+     "shell.execute_reply": "2024-10-30T17:27:07.032260Z"
     }
    },
    "outputs": [
@@ -196,10 +196,10 @@
    "execution_count": 5,
    "metadata": {
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-     "iopub.execute_input": "2024-10-10T17:21:12.959672Z",
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-     "iopub.status.idle": "2024-10-10T17:21:13.146846Z",
-     "shell.execute_reply": "2024-10-10T17:21:13.146311Z"
+     "iopub.execute_input": "2024-10-30T17:27:07.035167Z",
+     "iopub.status.busy": "2024-10-30T17:27:07.034794Z",
+     "iopub.status.idle": "2024-10-30T17:27:07.222737Z",
+     "shell.execute_reply": "2024-10-30T17:27:07.222077Z"
     }
    },
    "outputs": [
@@ -250,10 +250,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-10-10T17:21:13.149032Z",
-     "iopub.status.busy": "2024-10-10T17:21:13.148655Z",
-     "iopub.status.idle": "2024-10-10T17:21:13.376897Z",
-     "shell.execute_reply": "2024-10-10T17:21:13.376293Z"
+     "iopub.execute_input": "2024-10-30T17:27:07.225066Z",
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+     "shell.execute_reply": "2024-10-30T17:27:07.448982Z"
     }
    },
    "outputs": [
@@ -292,10 +292,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-10-10T17:21:13.378856Z",
-     "iopub.status.busy": "2024-10-10T17:21:13.378656Z",
-     "iopub.status.idle": "2024-10-10T17:21:13.518126Z",
-     "shell.execute_reply": "2024-10-10T17:21:13.517518Z"
+     "iopub.execute_input": "2024-10-30T17:27:07.451843Z",
+     "iopub.status.busy": "2024-10-30T17:27:07.451401Z",
+     "iopub.status.idle": "2024-10-30T17:27:07.592320Z",
+     "shell.execute_reply": "2024-10-30T17:27:07.591710Z"
     }
    },
    "outputs": [
@@ -334,10 +334,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-10-10T17:21:13.520233Z",
-     "iopub.status.busy": "2024-10-10T17:21:13.519894Z",
-     "iopub.status.idle": "2024-10-10T17:21:14.050224Z",
-     "shell.execute_reply": "2024-10-10T17:21:14.049601Z"
+     "iopub.execute_input": "2024-10-30T17:27:07.594907Z",
+     "iopub.status.busy": "2024-10-30T17:27:07.594473Z",
+     "iopub.status.idle": "2024-10-30T17:27:08.139898Z",
+     "shell.execute_reply": "2024-10-30T17:27:08.139294Z"
     }
    },
    "outputs": [
@@ -378,10 +378,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-10-10T17:21:14.052407Z",
-     "iopub.status.busy": "2024-10-10T17:21:14.052071Z",
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-     "shell.execute_reply": "2024-10-10T17:21:14.234012Z"
+     "iopub.execute_input": "2024-10-30T17:27:08.142187Z",
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+     "shell.execute_reply": "2024-10-30T17:27:08.335369Z"
     }
    },
    "outputs": [
@@ -430,10 +430,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
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-     "iopub.status.busy": "2024-10-10T17:21:14.236343Z",
-     "iopub.status.idle": "2024-10-10T17:21:14.406477Z",
-     "shell.execute_reply": "2024-10-10T17:21:14.405936Z"
+     "iopub.execute_input": "2024-10-30T17:27:08.338832Z",
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+     "shell.execute_reply": "2024-10-30T17:27:08.519002Z"
     }
    },
    "outputs": [
@@ -474,10 +474,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-10-10T17:21:14.408510Z",
-     "iopub.status.busy": "2024-10-10T17:21:14.408306Z",
-     "iopub.status.idle": "2024-10-10T17:21:14.542693Z",
-     "shell.execute_reply": "2024-10-10T17:21:14.542205Z"
+     "iopub.execute_input": "2024-10-30T17:27:08.521659Z",
+     "iopub.status.busy": "2024-10-30T17:27:08.521281Z",
+     "iopub.status.idle": "2024-10-30T17:27:08.652145Z",
+     "shell.execute_reply": "2024-10-30T17:27:08.651538Z"
     }
    },
    "outputs": [
@@ -513,10 +513,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-10-10T17:21:14.544729Z",
-     "iopub.status.busy": "2024-10-10T17:21:14.544359Z",
-     "iopub.status.idle": "2024-10-10T17:21:14.727510Z",
-     "shell.execute_reply": "2024-10-10T17:21:14.726960Z"
+     "iopub.execute_input": "2024-10-30T17:27:08.654309Z",
+     "iopub.status.busy": "2024-10-30T17:27:08.653918Z",
+     "iopub.status.idle": "2024-10-30T17:27:08.835091Z",
+     "shell.execute_reply": "2024-10-30T17:27:08.834516Z"
     }
    },
    "outputs": [
@@ -553,10 +553,10 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-10-10T17:21:14.729474Z",
-     "iopub.status.busy": "2024-10-10T17:21:14.729278Z",
-     "iopub.status.idle": "2024-10-10T17:21:14.892263Z",
-     "shell.execute_reply": "2024-10-10T17:21:14.891740Z"
+     "iopub.execute_input": "2024-10-30T17:27:08.837363Z",
+     "iopub.status.busy": "2024-10-30T17:27:08.836939Z",
+     "iopub.status.idle": "2024-10-30T17:27:08.997578Z",
+     "shell.execute_reply": "2024-10-30T17:27:08.996943Z"
     }
    },
    "outputs": [
@@ -593,10 +593,10 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-10-10T17:21:14.894273Z",
-     "iopub.status.busy": "2024-10-10T17:21:14.894078Z",
-     "iopub.status.idle": "2024-10-10T17:21:15.025893Z",
-     "shell.execute_reply": "2024-10-10T17:21:15.025410Z"
+     "iopub.execute_input": "2024-10-30T17:27:08.999532Z",
+     "iopub.status.busy": "2024-10-30T17:27:08.999338Z",
+     "iopub.status.idle": "2024-10-30T17:27:09.132483Z",
+     "shell.execute_reply": "2024-10-30T17:27:09.131862Z"
     }
    },
    "outputs": [
@@ -630,10 +630,10 @@
    "execution_count": 15,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-10-10T17:21:15.027712Z",
-     "iopub.status.busy": "2024-10-10T17:21:15.027520Z",
-     "iopub.status.idle": "2024-10-10T17:21:15.281421Z",
-     "shell.execute_reply": "2024-10-10T17:21:15.280677Z"
+     "iopub.execute_input": "2024-10-30T17:27:09.134646Z",
+     "iopub.status.busy": "2024-10-30T17:27:09.134280Z",
+     "iopub.status.idle": "2024-10-30T17:27:09.296639Z",
+     "shell.execute_reply": "2024-10-30T17:27:09.296017Z"
     }
    },
    "outputs": [
@@ -677,10 +677,10 @@
    "execution_count": 16,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-10-10T17:21:15.283721Z",
-     "iopub.status.busy": "2024-10-10T17:21:15.283332Z",
-     "iopub.status.idle": "2024-10-10T17:21:15.375513Z",
-     "shell.execute_reply": "2024-10-10T17:21:15.374999Z"
+     "iopub.execute_input": "2024-10-30T17:27:09.298921Z",
+     "iopub.status.busy": "2024-10-30T17:27:09.298567Z",
+     "iopub.status.idle": "2024-10-30T17:27:09.481927Z",
+     "shell.execute_reply": "2024-10-30T17:27:09.481306Z"
     }
    },
    "outputs": [
@@ -736,16 +736,16 @@
    "execution_count": 17,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-10-10T17:21:15.377520Z",
-     "iopub.status.busy": "2024-10-10T17:21:15.377187Z",
-     "iopub.status.idle": "2024-10-10T17:21:15.842745Z",
-     "shell.execute_reply": "2024-10-10T17:21:15.842201Z"
+     "iopub.execute_input": "2024-10-30T17:27:09.484154Z",
+     "iopub.status.busy": "2024-10-30T17:27:09.483807Z",
+     "iopub.status.idle": "2024-10-30T17:27:09.944385Z",
+     "shell.execute_reply": "2024-10-30T17:27:09.943758Z"
     }
    },
    "outputs": [
     {
      "data": {
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r10/dunXTsmXLtHPnTj300EMym82layrV536GfVTnfF6wYEG58/PS83n//v0ym80aPHiwbr/9dvn6+nLuAgAY2QUAAKrnwtSiihiNRnXt2lXp6emV3llt1apV5comTZpU+vdbb71Vaf1du3bp2muvlcFgqH7gLqam/Txy5EiNHDmyTFmLFi3K9PPs2bPL7B83blyZ7frQz7CPmp7P48aNK3d+ShffN8LCwsqMCOPcBQBIJLsAAEAtqWiaUm2LiYlRTExMnbfjzOhnuJPaPp85dwEAEtMYAQAAAAAA4EZIdgEAAAAAAMBtMI0RTif3vJSR7Zi2owIkP0/HtA0AAAAAAGqOZBecTka2NGGDY9r+oI8UG+yYtgEAAAAAQM0xjREAAAAAAABug2QXAAAAAAAA3AbJLgAAAAAAALgNkl0AAAAAAABwGyxQD7eQ+pxZeSkJMnh4ymDykHerDgoZM10B3QY7OjQAAAAAAGBHjOyC2wgZM11xC3PVdd4xNYzupd2v3qqSvLOODgsAAAAAANgRyS64HaOnl5rcMF6Wc7k6dyTD0eEAAAAAAAA7ItkFt2MpLNDJlR/I6Bsg75B2jg4HAAAAAADYkcsku4qKijR16lSFhobKx8dHgwYNUmJiogwGg5YsWeLo8OAEDi+YquTRgdr+QITyM39W1JRvZPINcHRYAAAAAADAjlxigXqr1aqRI0cqMTFR06ZNU1RUlBYsWKDhw4dLkuLi4uwaz/WvTVDoDd3lGeCr87kF2vdNgja//Kks54vtGgfKChn9sloMf8rRYQCAy/nltLRg98XtP66URkRIIyMkP09HReV+9uZIn+25uH3Dd9ItYdKdbaQm3o6LC7ga2UXSl5nSv/ddLJu6Vbq7jdQh0GFhAQAgyUWSXe+//76WLVum5ORkderUSZJkNpsVGRmpoKAghYWF2TWeXR99p80vzVdxQaG8gvxlfv9JdX3iNiXP+tKucQAAUFPLDkjTkiQZLpYdLZBm77Lt+1cfKdDLYeG5jc0npSd+kootF8tOF0nzMqSlv/ZzmJ/j4gOuxMlz0oT10sH8suXLD0orDkmvXisNDnFMbAAASC4yjXHGjBkaM2ZMaaJLkkwmkyIjI0tHdd16663q1q2b4uLi1K9fPyUnJ9dZPGfTDqq4oNC2YTDIarHKv03LOmsPAIC6cDBPmpYsWSRZrOX378uVXvnZ3lG5n7xi6clEW6LL8pt9VtmSXk9vkqwV/D8AnNELSdLh/PLlF95LntsiHS+we1gAAJRy+mRXenq6MjMzNWLEiHL7Dhw4UJrsmjdvnn7++WclJSXpqaee0v3331+ncXV57FbdnTFfd/3yoYI6hWvn+9/UaXsAANS2f++tPMFikfTDUeloBV9qUX3fHrAlvH6b6LrAYpUycqSfs+waFnBV9uZKG09c/ny2SiqxSv/Zd5kKAADYgdNPYzx06JAkqVmzZmXKU1JStG/fvtJkV6NGjUr3nT17VkZj9fN4/v7+KioqKlfe1qOxng7oW+Fztr/zX21/579q1K6V2tzWTwXHT1e7vfpq4ECzdhdX3U++0b3U9pX4Kzp29PQrq385AwealZ+aUCvHAgBnFzVzk3wiulZaxyqp2y3368zaz+wTlBsKe/JzBVw3TAbT5S+7rBaLbv6/6Tr+1St2jMz9df7ynCTJy4tF0WpL0A0PqNWD71Rax2K16q2lP+mJbmb7BFVPcD7bB/1sH/Szfbh6P1ssl/tppWpOP7IrODhYkpSRkVFaZrVa9cwzz8hisZRZnH7ChAkKCwvTc889p3nz5tklvrPph5S1Y5/6/eMJu7QHAEBtqSz5Uqae0VTHkbg5o4dkMFRRyUo/wyVU533DYDBwPgMAHMrpR3bFxMQoKipKkydPlqenp/z8/DRnzhwlJSXJ19dX0dHRpXU/+OADSdL8+fM1adIkLVu2rFpt5OTkVFh+LDFF394ypcrnGz1NCmDNriqtWROv5j06VFkv+ZQ0YYMdAqrAmjXxig12TNsAYG8vJkn/O3D56UgXrP3yX2rf6F92ickdfZAqvZdaeR2D0aR5MyZr4CeT7RNUPdH9a9t/CwsLHRuIG9mWJd2/vvI6Rkljb+ihZ56k32sT57N90M/2QT/bh6v384YNG9S3b8Wz7ari9CO7PDw8tGjRIrVs2VJjx47VxIkTNXToUA0YMEBdu3atcLriPffcozVr1ujUqVO1Ho+nv6+iRpnVIMBXktQ4JlzdJo7Q4XhW8AUAuJYREZUnuoySujSW2jeqpBKqdGu4ZKxkYJdRUrCX1K+53UICrlqXxlJb/8q/RFhke38BAMBRnH5klyR169ZNCQll11F65513NGDAAElSbm6uTp8+rdDQUEnS0qVLFRQUpKCgoNoPxmpVmxH9dd20sTI28NC5k9nat2yjkmcurP22AACoQ50bS2OjpHkZkkG29bkuMEry9ZCmdHNQcG6kibf0TBfptW22fr00wWiULRH2yjWSh9P/BAnYZuS+eI30wHqpsKTs+XzhfeRP0VJUgIMCBABALpLs+q2CggKlpqZq4sSJkqS8vDyNHDlSeXl5MplMCgoK0tKlS2Wocn2MK3c+t0Ar7nip1o8LAIAjPBYjhTa0JbwO5NnKjAZpUAvp4Rgp3M+x8bmLERG20VsfpEkpZy+W92gq/amDLfEIuIoOjaSP+0lzUmx3bL2QKA/3k8a1k/4Q6tDwAABwzWTXtm3bVFJSUro4ffPmzfXTTz85OCrYS3FOltJfuEHnDqUqbmFumX3nz57Q/tkPqjjvjIL636WmNz2otBdulLWoQEafALWZtFAmH765AcAFBoNtmt0tYdLeXKmgRGrpIzX2cnRk7sfc0vY4mCedLZKaekvNfBwdFXB12gZIf+0hnTonHTtnGwka3rAa92IAAMAOXDLZ1bNnT1mt1qorwi2ZfPzV7sWV2vPGqHL7jix8Sa0nvCWvZuGlZeGPvC+v5hE6uXKustYuUNObHrRnuADgEgwGKdLf0VHUD60b2h6AOwj2tj0AAHAmrA4Bl2Pw8JSHf8XrsRUeStOhT55V2gs36txB262vvJpH2HYaTfzcCAAAAACAmyPZBbeSu2u9Wt39isIemq1Dnz5XWm4pzNfJFf9SUJ/yo8EAAAAAAID7cMlpjMDleId1klfLtpKkkvyLKwDve/dPCrlrmkwNGzkqNAAAAAAAYAcku+BWvJpFqDj7pKyWEhm9fCVJx5b8TT6hHRUQe4ODowMAAAAAAHWNaYxwSWlThyg/M0lpU4cod+d6HV08U5LUYtQU7X7tNu1+dbhajpoqy/kiHfrk/+ls0ndKfc6skyvnOjhyAAAAAABQlxjZBZfU/uVVZbb9OvaVJPlGdFX0a2vL7Lvm34V2iwsAAAAAADgWI7sAAAAAAADgNkh2AQAAAAAAwG2Q7AIAAAAAAIDbYM0uJ9P3rUd1Pu+cNj7nfAup350xX9/e+ryyfsms03aiAqQP+tRpE5W2DQAA3F98fLzGjRun8PBwhYeHa968eWX2z58/Xy1bttSQIUP06quv6ttvv1VsbKz+8Y9/lKl34sQJPfjggzpz5ozuuusuPfjgg1q+fLlefPFFNW7cWAsWLFCjRo105513avny5Vq6dKn69u2r4uJi/elPf9IHH3xgz5cNAEC9QLKrDrXo3UmxT45ScNc2kqRT2/Yo+a9f6mjCDgdHZhP75CgFd2ur7+99rVr1P4u6p44jsvHzlGKD7dIUAACox8aPH68pU6boiSeeUEJCgnr16lW6b+nSpVq4cKGOHTumrVu3at26dfrzn/+szZs3q3v37qX1XnrpJb311lsKDw8vLZs1a5a+//57rVixQv/617/01FNP6a233tJ7771XWsfDw0NNmzbV7t271bZtW/u8YAAA6gmmMdaR1kOu1Q0LpujAqi368pqH9OU1D+nAqi264fMpaj34mgqfYzDV3v8Og4ep1o4FAADgzjp37qxDhw6VbmdlZcnb21sGg0GbN2/WgAEDJEmDBg1SYmJimeempaXp2Wef1Y033qjU1FTl5eXJ399fPj4+Zeq3aNGiXLtms1nffvttHb4yAHBN8fHxioyMlNls1tixY8vtnz59utLT0ys9xuOPP65+/frp1VdfLbfv/PnzGjVqlMxms2bOnKnExET16dNHvXv31pQpUySpwrJdu3ZpxowZtfAKUddIdtWRnq/cr4yv4rVjztc6n5Ov8zn52jHna+1e9IN6vHK/JOn2xHfVdeII/f7r6Rqz5zM16Wb7Vc+zobfM7z+pu9Pn69Yf3lSIuVuV7bXo1Ul3Z8xX+zFDdPumORq26q+SpJb9u+qPy2dodOo8Dft+lsJ+d50kKex316nLE8PVamCs7s6Yr7sz5svYoPKBfvcdWaTgbm1lMBk1Ou0TBUaH2tru3Un3HVmk8D/afg31aRaoe/d/IU8/n6vrPAAAADtKSEhQVFRU6XZGRkbpSK0zZ84oIMC2zoG/v7/OnDlT5rnr16/XK6+8otmzZ+u5554rU9/Pz09nz569bLvh4eFKS0ur5VcDAO5h/Pjxio+PV6NGjZSQkFBabrFYtG3bNrVr1+6yz928ebM8PDy0bt06bd26VceOHSuzf/Hixerdu7fi4+O1ZcsWRUZGasOGDfrxxx+VkJCg7OxsxcXFlSuLiYnR1q1bZbVa6+x1o3aQ7KoDAW1D5B/eXJn/3VBu357/rFdARAsFtGkpSYoaadaGJ9/VZ1H36NSva2FF3tpXe/6zTgs6jNW2f/xHgz58Wr4tgqps18PHS01io/Tf/hP1zdBn5B/RQkPmPatf3vmvPu84Tlumf6oBc/6soE4R2v/dJm1/+z86tCZZn0Xdo8+i7pGlqLhar89aYtGxjbvUsm8XSVLLfl2UnXlELft2tm337aJT2/bofG5BtY4HAADgCHPnzpXZbFarVq0UGxtbYZ3AwEBlZ2dLknJychQYGFhmf6dOndS2bVu1a9dOZ8+eLVM/NzdXjRo1qsuXAABu77ejb3/++We1b9++0uds3LhRgwYNkiQNGDBAW7ZsKbM/MzNTXbrYvs/GxMRo06ZNkqSSkhKFhITI19dXnp6e5cokqU2bNtqxwzmWJsLlkeyqA95B/pKkgmNZ5fYVHD9tqxNs+8Uvdf5KnU0/JKvFUppsOvrTTu3/NlHWEov2LFqr0zv3KeLmXuWO9VsGo1FbXv1MxQWFKikoUuQtvXVs4y7tXZoga4lFh1Ynaf+KzWo7ckCNX+PR9b+USW4l//XL0uRXiz6ddWTDLzVuAwAAoC5dGDXwyiuvlCmPiorSvn37JEnXXnut1q5dK0las2aNevToUaZuRESETp48qWPHjsnX11cNGzZUTk6Ozp07V2H9S+3bt6/SkQkAgPKjb9PT0xUREVHpc6oalRsdHa0ffvhBVqtV69at09mzZ7VgwQLFxMQoMDBQHh62WU8VlTEq1zWQ7KoD57JyJEk+zcuPxvJp1thW55TtF7+8QyfK1ck7WLYs98CJao3sKi4oVOGvbUuSb8tg5f72WPuOybdlzVd/P7J+u5pf31ENAnwV0CZEmf/dIFMDD/m2DFLLvp11ZN32GrcBAADgCEFBQcrPz5dkW2ura9eu6tevnwoLC9W9e3cdPXpUM2fOlCRNmTJFt912m4YPH66pU6dKkv7yl79o4MCBeu+99zRhwgRJ0pNPPqlPPvlEf/7zn/XZZ59Jsq1JM3ToUAe8QgBwftUZfbtz506ZzeYyj9dff73KUbnDhg3TiRMndMMNN6hp06Zq1qyZRo8erZSUFB0+fFjbt9u+z1ZUBtfA3RjrQPbuw8rZf0yRw3rr6G9GOEXe0ls5+48pe88RSZLVUn6ub8PWTcts+4U21YmtVWeOrRZLme38I6fUolen3xyrmfKPnKqw/pXI2rFXVotFHR/4o45vSpHVYtGR9b+o/egh8m3WWMc3pVz1sQEAAOrahS9FlzNs2DCtWrVKQ4YM0dSpU0sTWZItATZp0iRJUteuXUtHfl3wu9/9Tr/73e/KlM2aNUuzZs0q3S4uLtbx48fLjFYAAFx04Y65v9WuXTstXrxYktSxY0fFx8eXq7Np0yZ9/vnnuvnmm7V27VqNGjWqzH6TyaQ5c+bIarVq7NixpXfZNRqN8vf3l7e3twoLC+Xl5VWmTLKNyu3Tp08tv1rUNkZ21ZHE5z9W1B0D1emhm+Xp5yNPf191fOiPiho1UIlTP6r0uS2u76jQG7vLYDKqzW391LhjuPb+76crjiFzyY9q3jNG4X/oKYPRqFYDYxV6U3ftXmS7ICs4eVYNWzW56rtAHv1xhzo++AcdWW/LcB/ZsF0dH/yDjm9JU0nh+as6JgAAgDO49957NWTIkDo7voeHh+bOnVtnxwcAd9WtWzelpqZWWue6665TYWGh+vXrp27duql58+ZlRuXu379fZrNZgwcP1u23364VK1bIbDarf//+at26tdq1a6evv/66XJlku4lJ586d6/x1omYY2VVHDizfpFVjXlW3v9yu2Em2LPKpbXu0asyrpcmhy8n873q1HTlA/Wf/n/KOnNKaCX9V/uFTVxxDzt6jWn3/G7rm/92tPm8+qryDJ7T2sbeV9etC+HuXJqjNrX115y8fymAw6Iuu46u9SL0kHVm3XRF/7KUj622j146s/0UNAhqyXhcAAAAA4KpVNvrWaDSqa9euSk9Pr3Tdw9mzZ5fZvnRUblhYWLkRYSNHjiy3/duyXbt26dprr5XBYKjmK4GjkOyqQ0fWb680sbWoxyPlytZPnF1BzaodTdihz6LuKVd+aE2yDq1JrvA5RWdy9d2IF6p1fIPRNvrr0mRY6icrlPrJitLtgmOn9XHL268gagAAAAAArkxF0xvtISYmRjExMQ5pG1eGaYyolsadwmU5X1zhgvoAAAAAAADOgpFdLuSW+Dfl17pJufIDK7Zo7SNv1fj4Qz57Ts17dihXfj73nIyeJm15dYGKsvNr3A4AAAAAAEBdIdnlQpaY/1ynx1919/Q6PT4AAAAAAEBdI9kFp5N7XsrIdkzbUQGSn6dj2gYAAAAAADVHsgtOJyNbmrDBMW1/0EeKDXZM2wAAAAAAoOZYoB4AAAAAAABug2QXAAAAAAAA3AbJLgAAAAAAALgN1uyCW0h9zqy8lAQZPDxlMHnIu1UHhYyZroBugx0dGgAAAAAAsCNGdsFthIyZrriFueo675gaRvfS7ldvVUneWUeHBQAAAAAA7IhkF9yO0dNLTW4YL8u5XJ07kuHocAAAAAAAgB2R7ILbsRQW6OTKD2T0DZB3SDtHhwMAAAAAAOzIJZJdRUVFmjp1qkJDQ+Xj46NBgwYpMTFRBoNBS5YscXR4cBKHF0xV8uhAbX8gQvmZPytqyjcy+QY4OiwAAAAAAGBHTr9AvdVq1ciRI5WYmKhp06YpKipKCxYs0PDhwyVJcXFxDonL5N1At6yeJZ9mgfos6h6HxICyQka/rBbDn3J0GA5lsUrfH5a+zJRSz0omg9SrmXRHG6lbkKOjcy8Jx239vPWUbbtbkDQqUurTTDIYHBsbcKUyc6SFmdKqw9K5EimsoXRbhPTHUMnb5OjogCtzpkhavFdasv9i2bu7pJGRUlNvh4UFAJC05aTtmuOCh3+URkZIA1tyDY3a5fTJrvfff1/Lli1TcnKyOnXqJEkym82KjIxUUFCQwsLCHBJX3KQ7lHvwpHyaBTqkfeC3ii3SlK22L6tGSZZfy1cdkVYclv7cSbq7rSMjdA9Wq/T2Tmn+7rL9/NMJ6cfj0p2R0pOd+bCG6/jhqPTMJluy/ML5nJ4tvb5N+nq/9G4vyc/ToSEC1XYwT3pwg3T8XNnyj9KlRXulOb2l6EYOCQ0A6r25adKcFMl4yXXylpPSppPSH1pLL8SV3QfUhNNPY5wxY4bGjBlTmuiSJJPJpMjIyHKjul588UUZDAb98ssvdRpTcNc2ajUwVr/M/m+dtgNciXkZtkSXdPELq2T7AitJb+6wfZigZpYfsiW6pIr7+YtM6ZsDdg8LuCpH86VnN0sl1rLn86+ns3adsSW9AFdgtUpPJkonz1WwT1Lueen/fpLOW8rvBwDUrQ3HbIku6eJ1s3Tx+uN/B6Uv9tg9LLgxp052paenKzMzUyNGjCi378CBA2WSXVu3btVPP/2k8PDwOo3JYDKq91//pJ8mfyBLUXGdtgVUV7Gl6g8Ho/gAqQ0L9lT+xmmQ9Nlu25cuwNkt3md7/7jc6WqVbWRoRckDwNlsOSXtzimbuL2URdLJQmnNEXtGBQCQpM/3VD1qa8GesokwoCacehrjoUOHJEnNmjUrU56SkqJ9+/aVJrsKCwv16KOP6vPPP5fZbL7idvz9/VVUVFSuvK1HYz0d0LdMWedHbtGp7Zk69tMutejVqdxzcHkDB5q1u/h0lfV8o3up7SvxV3Ts6OlXVv9yBg40Kz81oVaOZU/ebeLUbsZPldaxSPp+/zl59WP+xtUyNgxUp4+PVVrHKikjR/JrEabiM5XXBRwtamaivMO7ylDJvFuLVer0x/t0Zt3ndowMuHIt7p6uJsP+LIPx8gvNWUuK9fCsBTo4+wE7RgbUjs5f2n558PJi8bm6RD/XAaNRnb/Ik8FQ+VibowVSYJuuKjycaqfA3J+rn88Wy9UPx3bqkV3BwcGSpIyMjNIyq9WqZ555RhaLpTTZ9fzzz2vMmDGKiIio03j8I1oo+t4btfnl+XXaDnClDKbqLahT3Xqo2JX0n8GjQR1GAtQOg6lBpYmu0nqcz3ABBg9PyVr1RTHnMwDYl8HoUWWiq7SuB99XUDucemRXTEyMoqKiNHnyZHl6esrPz09z5sxRUlKSfH19FR0drYSEBG3evFmvv/76VbeTk5NTYfmxxBR9e8uU0u3mPTrIp0kj3bbhbUmS0cMkz4Y+unPHh1ozfqaO/bTrqmOoD9asiVfzHh2qrJd8SpqwwQ4BVWDNmnjFBjum7Zo4UyT9brlUXMmwX4OkqECTthQW2i0ud1NitfXz6fIDQcsI8JROH8iQp1P/nABIz22RVh6uesrA95+/r06N37dPUMBV+nq/9FJy5XUMJg8998CdGvfGnXaJCahN3b+2/beQa7k6RT/XjVtXSYfyL790giR5GaXDu7aooVNnKVyLq5/PGzZsUN++fauuWAGn/irm4eGhRYsWqWXLlho7dqwmTpyooUOHasCAAeratauMRqN++OEH7dq1S5GRkYqIiNDBgwd10003acWKFbUeT+bSH/Xv3o/p6yFP6eshT2nDk+/pfP45fT3kKZ3Yml7r7QHVFdhAuqFV5f+grZJGRdorIvdkMki3R9gSh5djkDQ8XCS64BJuj6g80WWU1D5A6hhop4CAGrgxRPI1Vf4ebTJIw0LtFhIA4FcjIytPdBkl/SFUJLpQa5z+61i3bt2UkJCg/Px8paam6uGHH1ZSUlLpFMZnn31Whw8f1t69e7V37161bt1ay5cv14033ljrsZQUFCn/SFbpo/BUtmS1Kv9IFovVw+Eei5GCvS//j7p7sHRzmF1DcktjoqS2/hV/mTJKCveT7mtn76iAqxMbJI24zH1djLIlbafEStWY6Qg4nLeHNDXW9vdvT9kL23/pbPusBADY1+0RUtfGl7+Gbu4jPRRt56Dg1pw+2fVbBQUFSk1NLXMnRkc5mrBDn0Xd4+gwAEm2D4iP+kmDWpa904mvSbq7jfT36xltVBsaekj/6ivdGi41uKQ/PY22X6Pm9pX8WWoALsJgkJ7pKj3RUQryKrvv2ibS3H6M6oJruaGV9GZPKSqgbHloQ2n6tdIdjHAGAIfwMkmze9lmmnhfch8Rk8H23v1RP36MQO1yuUGC27ZtU0lJyWWTXXv37rVvQLC7/e8/roLMZAVcM1QtR04uLU99bqAuDI4Ne+hd+YR11MGPJik35UcZG3irzaQv5RHgggtyXYEWPtLr10knz0m/+3Um7/KbJB+X+5fu3Pw9pee62RIEA7+1lX13o9SINY/hgowG6d4oaXQb6fpvbGX/HSy1bujYuICr1be51KeZtDvH9nkY2ECKbsQIRQBwNB8PaVIX6ZEYadcZ21IKUQHlf3ADaoPLfQXu2bOnrNYqVtKF28pL3yyD0UPRr63T7tdv1/kzx+QZ2FySZDCa1P7lVaV1S/LOKn/vz+owY4OyfligrHWfq9kfHnNU6HbV5JJfRUh01Z1LR3CR6IKr87hkpCKJLrg6g8H2Beq3I7wAAI7X0EPq3sTRUcDdMakJLiUvbaP8uw6SJPl3HqD8jC2X7LUq9Tmz9v5jgixF52T08pXJt5GsFotK8s/Kwy/IMUEDAAAAAAC7IdkFl1KSd0YmX9vPtEYff5XknSnd1+aZRYqeHi+f0BidXDlXBg9PNQhurR2PdtDxb/6hwOuHOyhqAAAAAABgLyS74FJMDQNVkp8tSbIU5MjUMLB0n4dfY0lSox7DdO7ADhUc2KXzWYfU6d1UhYyZrmNfv+mIkAEAAAAAgB2R7IJLadi+h3K2r5Ek5exYK9+oa0v3leTnSJLyUhLUoFmkZLXI5NdYBoNBHv5BZUaBAQAAAAAA98TS1XApDdtdp1Pff6zU/9dPAXE36XzWEWUnrVDwwHuU9vwQGT0byNQwUJF//lSmho0kq1Wp/6+/JKsi/m+eo8MHAAAAAAB1jGQXXE7Yn2aX2fZtEytJivnrxnJ1wx993x4hAQAAAAAAJ8E0RgAAAAAAALgNkl0AAAAAAABwGyS7AAAAAAAA4DZYswtOJypA+qCP49quD+Lj4zVu3DiFh4crPDxc8+aVXbx//vz5atmypYYMGaJ+/fopKSlJKSkpat26dZl6EydOVHJyss6fP6+8vDwlJyfr0Ucf1RtvvKGGDRva8yUBAADUW9W9touOjtYdd9whDw8PtW3bVh9++KEMBkOZuufOnVNkZKS++uor9e3bV2PHjtXu3bvl5eWlTz75RK1atdK4ceMqfC4AOAuSXXA6fp5SbLCjo3B/48eP15QpU/TEE08oISFBvXr1Kt23dOlSLVy4UJL01Vdf6dlnn63wGG+99ZYkafny5frhhx8kSTfffLMWLlyo+++/v25fAAAAAEpV59rOYrFow4YNMhgMGj9+vLZv366uXbuWOc5HH32kjh07lm6/+OKLioiI0Pfff6/Zs2fr1VdfVc+ePbVmzRoNGjTIbq8PAK4E0xiBeq5z5846dOhQ6XZWVpa8vb1Lf6lr0aJFlcdYsmSJbrnlFklS//79tXz58roJFgAAAJWq7NrOZDKVXuN5eXkpJCSkzHNLSkq0fv169evXr7QsIiJCkso8d+DAgVq2bFkdvxLnFB8fr8jISJnNZo0dO7bc/unTpys9Pb3SYzz++OPq16+fXn311XL7zp8/r1GjRslsNmvmzJlKTExUnz591Lt3b02ZMkWSKizbtWuXZsyYUQuvEHAPJLuAei4hIUFRUVGl2xkZGQoPD7+iY2zevFk9evSQJPn6+ur06dO1GiMAAACqp6pru9WrV6tr1646evSoGjVqVOa5X3zxhW6//fZyx7RYLHr11Vc1fvx4SVJ4eLjS0tLq6BU4v/Hjxys+Pl6NGjVSQkJCabnFYtG2bdvUrl27yz538+bN8vDw0Lp167R161YdO3aszP7Fixerd+/eio+P15YtWxQZGakNGzboxx9/VEJCgrKzsxUXF1euLCYmRlu3bpXVaq2z1w24EpJdQD01d+5cmc1mtWrVSrGxsVd9nC1btiguLo41GwAAAByoutd2gwYN0rZt2xQeHq7vvvuutNxqteq///1v6Wj9S02dOlV33nmn2rRpUxehu6zfjqL7+eef1b59+0qfs3HjxtLpnwMGDNCWLVvK7M/MzFSXLl0kSTExMdq0aZMk26i7kJAQ+fr6ytPTs1yZJLVp00Y7duyonRcHuDiSXUA9deEXqVdeeaVMeVRUlPbt21ft41w6hVGS8vPzFRgYWFthAgAAoBqqc21XVFRUWt6oUSN5e3uXbufm5mrPnj36/e9/r08//VRPPfWUzp07p3//+9/Kysoqsx7rvn37Kh29VF/8dhRdenp66bTPyzlz5owCAmx3xfL399eZM2fK7I+OjtYPP/wgq9WqdevW6ezZs1qwYIFiYmIUGBgoDw/bstsVldX3EXfApUh2ASgjKChI+fn5pdtjxozRihUrdNddd+n777+XJD355JOl+1evXq3BgweXbq9du1Y33nij/QIGAADAZV16bZeYmKj+/fvLbDbr4MGDGjx4sI4ePaqZM2fK399fW7Zs0XfffacxY8bor3/9q7y9vfWXv/xFP//8s8xms6ZPny5JWrNmjYYOHerIl+VQ1RlFt3PnTpnN5jKP119/XYGBgcrOzpYk5eTklPuReNiwYTpx4oRuuOEGNW3aVM2aNdPo0aOVkpKiw4cPa/v27ZJUYRmAi7gbI1APXfjAvZxhw4Zp1apVGjJkiD799NNy+2fNmlX69/r168vsW7p0KYtjAgAA2NGVXNutXbu2zL4WLVpo0qRJZcqmTZtW+ndFI/43btyoBx98sEYxu7ILd778rXbt2mnx4sWSpI4dOyo+Pr5cnU2bNunzzz/XzTffrLVr12rUqFFl9ptMJs2ZM0dWq1Vjx45V9+7dJUlGo1H+/v7y9vZWYWGhvLy8ypRJtv9Xffr0qeVXC7gmRnYBKOfee+/VkCFDruq5s2fPlp+fXy1HBAAAgKtVk2u7inz00UcyGvkq+VvdunVTampqpXWuu+46FRYWql+/furWrZuaN29eOrpOkvbv3y+z2azBgwfr9ttv14oVK2Q2m9W/f3+1bt1a7dq109dff12uTLLdjKBz5851/joBV8DILgAAAAAAqqGyUXRGo1Fdu3ZVenp6pWuazZ49u8z2paPrwsLCyo0IGzlyZLnt35bt2rVL1157LTeNAn5FsgsAAAAAgFpQ0fRGe4iJiVFMTIxD2gacEWNPAQAAAAAA4DZIdgEAAAAAAMBtkOwCAAAAAACA22DNLjid3PNSRrZj2o4KkPw8HdM2AAAAAACoOZJdcDoZ2dKEDY5p+4M+UmywY9oGAAAAAAA1xzRGAAAAAAAAuA2SXQAAAAAAAHAbJLsAAAAAAADgNlizC24h9Tmz8lISZPDwlMHkIe9WHRQyZroCug12dGgAAAAAAMCOGNkFtxEyZrriFuaq67xjahjdS7tfvVUleWcdHRYAAAAAALAjkl1wO0ZPLzW5Ybws53J17kiGo8MBAAAAAAB2RLILbsdSWKCTKz+Q0TdA3iHtHB0OAAAAAACwI5dJdhUVFWnq1KkKDQ2Vj4+PBg0apMTERBkMBi1ZssTR4cEJHF4wVcmjA7X9gQjlZ/6sqCnfyOQb4OiwAAAAAACAHbnEAvVWq1UjR45UYmKipk2bpqioKC1YsEDDhw+XJMXFxdktlr5vParI4X1lOV9cWhb/wCwdWpNstxhQsZDRL6vF8KccHYZDWa3SxhPSor0Xy17fJt0eIUWR94MLysyRvtorrT8mFVuk6Ea287l3M8lgcHR0wJU5Uyj9d7/03UHpTJHUwle6JUwa2krydokrMgD2ZrHaPgP/vfdi2axfpJERUpifo6JyT1tPSV9lXtx+KVkaFSF1CHRQQABqxCUurd5//30tW7ZMycnJ6tSpkyTJbDYrMjJSQUFBCgsLs2s8aZ+u0sbn5tq1TaAqFqv02jbpP/sk4yVJgMV7bRdIU2JtX6oAV7HsgDQtWZJVsvxadvKctO6Y9IfW0vNxkomEF1xERrb08I/S6aKLZacKpV9OS5/vkd7rLQV5OS4+AM6n2CJN2SqtOlx2Os4Xe2xJmenXSoNDHBae27Bapbd3SvN3l+3nb/ZLX++X/tJJGt3WYeEBuEouMY1xxowZGjNmTGmiS5JMJpMiIyNLR3VFRESoQ4cOio2NVWxsrJYvX+6ocAGH+HyPLdEl2RJfF1gkWSW9kixtz3JAYMBVSDkrTUuyncuWS8ov/P2/g9J87j8BF1FUIj3+k3S2qGz5hbfqvTnS/9ts97AAOLl/pdkSXVLZz0KrpBKrNHmLbQQ0ambpAVuiS6r4muNvO6Sfjts7KgA15fTJrvT0dGVmZmrEiBHl9h04cKDMFMZFixYpOTlZycnJuummm+ospja39dNdOz/SrWvfUtf/u00Gk9N3I9xciVX6dHfldQySvsisvA7gLBbuqbrOZ7ttv3oDzu77I9KJc2W/RF3KImnLKSntrD2jAuDMzpVU/llolW1E0pdc29WI1Wr78ayygeJG2a45ALgWp5/GeOjQIUlSs2bNypSnpKRo3759tbJel7+/v4qKisqVt/VorKcD+pYp2zl3mTa/PF/nsnIU3LWNBrw7USavBkp644sax+HuBg40a3fx6Srr+Ub3UttX4q/o2NHTr6z+5QwcaFZ+akKtHMuevCO6qt3MTZXWsUj6dk++/tq7sX2Cqic6f3lOkuTl5e3gSNxLx4+OyuRX+bl6ukhq0rWfCtIT7RSV++N8rhuhE+er0fW3yWC6/GWX1WrRoD+9qBOLX7djZACcVcPOZrV5ofKZKhZJC7Ye1vPXRdonKDfk2TRcHd5Nq7SORdKPxy3ybhgga/F5+wQG1BJXv7azWK7+l22nH5IUHBwsScrIuDhfxWq16plnnpHFYimT7Lr77rvVtWtXPfLIIzpz5kydxJO1PVPnTmVLVqtO/bxbSX9dqMhb+tRJW0B1GRv4VKuewZMFYeAaDA2q94Fc3XMfcCRjA5+q76hgscroxfkMwKba13Z8DtZItfvZYJTBg+towJU4/ciumJgYRUVFafLkyfL09JSfn5/mzJmjpKQk+fr6Kjo6WpK0bt06hYaGqrCwUBMnTtRjjz2mTz/9tFpt5ORUPNn9WGKKvr1lSuVPtlgrH/eKUmvWxKt5jw5V1ks+JU3YYIeAKrBmTbxigx3Tdk1kFUq/W1F2ra7fMkiKCDBpS2Gh3eKqD7p/bftvIf1aq0bHS+nZF9c0qohB0q4NK9Sc6/xaw/lcN97eaZsmU+n5bDLpvZef1e8/ftZucQFwXgdypeGrK69jlHRtaGMl85591fKLpSHfSUVVDB4J9pLyz5ziTtBwOa5+bbdhwwb17du36ooVcPqRXR4eHlq0aJFatmypsWPHauLEiRo6dKgGDBigrl27ymi0vYTQ0FBJkpeXlx555BFt2FA32ZKIYb3l6e8rSWocE65uT47U3m9cb9ob3EuQlzSwReX/oK2Sbo+wU0BADd0eUXliwCipb3OR6IJLGB5WdeLWz0MaxF3VAPwq1E/qHlz5tZ1F0u3MYKwRXw/pD6GV97NB0siIqgfoAnAuTj+yS5K6deumhISyCaV33nlHAwYMkCTl5eWpuLhYjRo1ktVq1RdffKHY2Ng6iaXDfTep14wHZfQ0qeDYGe1e9IO2/eM/ddIWcCUe7yhtOinlFpcf4WWQ1DFQujXMEZEBV+6PobY7Lm7LKp8kMBokX5P0fx0dEhpwxUL9pHHtpI/Sy+8zyHaOP9tV8jbZOzIAzuzJztL966XCkopvcNGjiXQDSfIae6C9tP6YdKqCG4kYJUX4SXe2cURkAGrCJZJdv1VQUKDU1FRNnDhRknTs2DGNGDFCJSUlKikpUceOHfXuu+/WSdvf3fZCnRwXqKnWDaWP+kmvb7MlvS7wMEhDW0tPdZG8XfJfPOqjBibpnettt/v+5oB0/pKrz9ggW2Igwt9x8QFX6pEOUuMGtoTX6UvuidPKV3qiI6O6AJTXrpE0t680Y7v0c9bF8gZG6ZYw6f86SR5OP0/H+TXzkT7qK722Tfrx+MUf2YwGWzLx6S6Sn6dDQwRwFVzyq++2bdtUUlJSujh9mzZtlJSU5OCoYA/FOVlKf+EGnTuUqriFuWX27Zl5p86fOSpLQY48m4QqavJ/dfCjp3Rq9Ty1Hv+mgs1jHBS1/YT7SXN6S/tzpbRsW6IrNkgKZD1NuCAfD+m5btJjMdLg72xliwbZfmEFXI3BII1uK42KlK7/xlb2QR+pWxBTYwBcXvtfE157cmwPT6N0bTDJl9rWwlf6+/XS4Xxp1xnbqNuuQVIT17yBHQC5aLKrZ8+eslorW/0C7srk4692L67UnjdGldvXZtIXkqQT3/2z9JtD8+GT5B3W2a4xOoMwP9sDcAeNGlz8m0QXXN2lozBc8YYoAByjjb/tgboV4mt7AHB9DHyFSzF4eMrDP6jSOmc3LVXgdTdLkjwDm9sjLAAAAAAA4CRIdsGtlBTkqqQgR55BLR0dCgAAAAAAcACSXXAr2UnLFXDN7xwdBgAAAAAAcBCSXXArZzYuUWCPWxwdBgAAAAAAcBCSXXA5aVOHKD8zSWlThyh353odXTxTkmQtKVHh4TT5hHUsrXt08Uwd+89MHf336zq25G+OChkAAAAAANiJS96NEfVb+5dXldn269hXkmQwmdRh5k9l9rW4bZJa3DbJbrEBAAAAAADHYmQXAAAAAAAA3AbJLgAAAAAAALgNkl0AAAAAAABwG6zZBacTFSB90MdxbQO1JT4+XuPGjVN4eLjCw8M1b968Mvvnz5+vli1basiQIerXr5+SkpKUkpKi1q1bl6mXn5+vP/3pTzp48KDMZrOef/55ffXVV5o5c6aMRqPeeustXX/99Ro3bpw+/PBDGQwGe75Mh6tuP4eGhur++++X0WhU9+7d9eabb5ap97e//U2zZs3Sww8/rClTpkiSHnjgAaWlpamkpEQffvih2rdvX2/7GQAAAO7jSr6rNG7cWN26dVODBg20YsWKMvUquoauqOzRRx/VG2+8oYYNG9rl9TGyC07Hz1OKDXbMw8/T0a8e7mb8+PGKj49Xo0aNlJCQUGbf0qVLNXjwYEnSV199pdtvv73CY7z55pt65JFHtHr1aj3//POSpNmzZ2vt2rVavHix/vrXv0qSevbsqTVr1tThq3Fe1ennJk2aaPny5Vq3bp1OnjyptLS0MvXGjBmj+fPnlyl799139cMPP+i1117Te++9J6l+9zMAAADcR3W/q1x77bWKj48vl+iSKr6Grqjs5ptv1sKFC2v5FVweyS4AsIPOnTvr0KFDpdtZWVny9vYuHR3UokWLyz5306ZN+vjjjzVw4MDSD6GIiAjl5eXp7NmzCgoKkiQNHDhQy5Ytq8NX4fwq6+fg4GD5+flJkkwmU7mRWc2aNZPRWPZj0dPTlgHPzc1V586dJdHPAAAAcC9VfVf5+eef1a9fP82aNavccyu6hq6orH///lq+fHkdRF8xkl0AYAcJCQmKiooq3c7IyFB4eHi1nrtz506NHj1aixYt0uTJkyXZfhmJi4vTkCFD9Oijj0qSwsPDy41Wqm+q0887duzQyZMn1a5du2odc/DgwXrsscd03XXXSaKfAQAA4F6quoZOS0tTfHy81q9fr19++eWq2vD19dXp06drHGt1kewCgDo0d+5cmc1mtWrVSrGxsVd1jKCgIPXr10/BwcHy8LAttThjxgzt2rVLmzZt0tSpU2sxYtdU3X7Ozs7WY489pvfff7/ax/7++++1ePFiTZs2reaBAgAAAE6iutfQjRs3lslk0u9//3vt3LnTfgHWAAvUA0AdGj9+fOmijJeKiorSvn37qnWMHj16aMeOHYqKilJxcbEkydvbWz4+PrJarcrLy5Mk7du3r9qjldxNdfrZarXq/vvv10svvaSQkJBqHbewsFBeXl5q1KiRfHx8JNXvfgYAAID7qM41dH5+vry8vGQymZSQkKCHH374qtrKz89XYGBgTcK9IiS7AMABgoKClJ+fX7o9ZswYrV69Wrt379a0adM0ePBgPfnkk5o1a5aefvpp3XfffcrNzS0dxXXvvfeqd+/eslgseuGFFyRJa9as0dChQx3yepzVpf0cHx+v1atX6+TJk5KkWbNmqVWrVpo/f74mTZqkTz75RH//+9919uxZZWdn64033tDw4cNVUFAgg8Gg2bNnS6KfAQAA4N4uvYbevXu37rvvPvn4+KhHjx667rrrdPTo0UqvoSsqW7t2rW688Ua7vQaD1Wq12q01F3MsMUXf3lI+y4mrM3TJK2reo4OjwwBqVfevbf/dPOzKn/vJJ58oJCREQ4YMqZVYxo0bp7lz55ZbDNId0M/2UZN+RvXRzwAAwB6c6Rr60Ucf1YwZM0pvGFUdGzZsUN++fbV+/Xr16dPnitpjZBcAOMi9995bq8f76KOPavV47oJ+BgAAAK5MbV9DX5glYS/u97M0AAAAAAAA6i2SXQAAAAAAAHAbJLsAAAAAAADgNkh2AQAAAAAAwG2Q7AIAAAAAAIDb4G6McDq556WMbMe0HRUg+Xk6pm0AAAAAAFBzJLvgdDKypQkbHNP2B32k2GDHtA0AAAAAAGqOaYwAAAAAAABwGyS7AAAAAAAA4DZIdgEAAAAAAMBtkOwCAAAAAACA22CBeriF1OfMyktJkMHDUwaTh7xbdVDImOkK6DbY0aEBAAAAAAA7YmQX3EbImOmKW5irrvOOqWF0L+1+9VaV5J11dFgAAAAAAMCOSHbB7Rg9vdTkhvGynMvVuSMZjg4HAAAAAADYkcsku4qKijR16lSFhobKx8dHgwYNUmJiogwGg5YsWeLo8OBELIUFOrnyAxl9A+Qd0s7R4QAAAAAAADtyiTW7rFarRo4cqcTERE2bNk1RUVFasGCBhg8fLkmKi4uze0ytB1+juGfuVEDbEBXnFuiX95Zqx5yv7R4HLjq8YKqOfvWKDB5e8g7tqKgp38jkG+DosOCm9uZK/957cfuN7dLtEVIbf0dF5J6OFUj/2Xdxe1qSNCJc6txYMhgcFxcA53XeIq0+Ii3dL504JwU2kH4fKt0UInm7xJUvAAA1c/KctGT/xe3ntkgjIqS4oPpzDe0SH/nvv/++li1bpuTkZHXq1EmSZDabFRkZqaCgIIWFhdk1npAB3dRr5kNa/8Q7OpqwQx4+XmrYqoldY0B5IaNfVovhTzk6DNQDX2XakluXWpQpfZkp/aWTNLqtY+JyNz8clZ7dLBVbLpYtOyB9c0C6q42tr+vLhzWA6jlTKD2aIKVm26YvWGT775ZT0kdp0nu9pRa+Dg4SAIA6lHhC+kuidK7kYtnKw9LyQ9LNodKUWMlUD66hXWIa44wZMzRmzJjSRJckmUwmRUZGlo7qOnfunB5++GG1a9dOXbp00YMPPlhn8cQ9fae2vfVvHVm/XdYSi87nFuhM6oE6aw+A8/jpuDRju2SV7XHBhXzM33ZIa486IDA3sztbemaTLdFVUT9/vkdamOmIyAA4s2c2S+nZtr8vvF9c+O/hfOmJnySLtaJnAgDg+o7kS3/eKBWWlC2/8Nm39ID0YZr943IEp092paenKzMzUyNGjCi378CBA6XJrqefflre3t5KS0vT9u3b9fLLL9dJPB4+XmoS21Y+TQM1fN3fdce2DzTo42fkF9qsTtoD4Fw+yaj8jdP4ax3UzMJM24dyZd9J52VIJXxpBfCrXWdsI7gsl9lvkbQnV0o4bsegAACwo0V7pSJL5dfQC/aUT4a5I6efxnjo0CFJUrNmZZNJKSkp2rdvn+Li4pSbm6tPPvlEBw8elOHXOS3Nmzevdhv+/v4qKioqV97Wo7GeDuhbpqxBYEMZjEaF/6GnVt71igpOnVWPl8Zp4NxJWnrjpCt9efXKwIFm7S4+XWU93+heavtKfF2HU6GBA83KT01wSNtwfkZvP3Waf6rSOhZJyVmSb5MQleRUXheXF/PhEXn4B1Va58Q5KbhTbxXs3mKnqNxf5y/PSZK8vLwdHIl7o5/rRvM7p6np8KdlMJouW8daUqx7ps/ToX8+YsfIAACwj/bv7JJX8zaV1sk5L4Vc/3vlbvveTlFdPYvlcj9hVc3pR3YFBwdLkjIyLg6VsFqteuaZZ2SxWBQXF6fdu3crODhYL774orp37y6z2az169fXSTznc20XqDs/WKbcgydUUlCkra8tUHCXSNbtcqDo6fGs14U6Z/RuWP26XtWvi/KMXtVbVMfo7VfHkQBwFUZvP8la9UUx7xsAAHdlquZn3JV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",
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",
       "text/plain": [
        "
    "
       ]
@@ -776,10 +776,10 @@
    "execution_count": 18,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-10-10T17:21:15.844900Z",
-     "iopub.status.busy": "2024-10-10T17:21:15.844504Z",
-     "iopub.status.idle": "2024-10-10T17:21:16.106211Z",
-     "shell.execute_reply": "2024-10-10T17:21:16.105617Z"
+     "iopub.execute_input": "2024-10-30T17:27:09.946610Z",
+     "iopub.status.busy": "2024-10-30T17:27:09.946246Z",
+     "iopub.status.idle": "2024-10-30T17:27:10.205482Z",
+     "shell.execute_reply": "2024-10-30T17:27:10.204872Z"
     }
    },
    "outputs": [
diff --git a/explanations/state-vectors-and-gates.html b/explanations/state-vectors-and-gates.html
index b2dd73181..96fea79b2 100644
--- a/explanations/state-vectors-and-gates.html
+++ b/explanations/state-vectors-and-gates.html
@@ -5,8 +5,8 @@
     
 
 
-    
-        State vectors and gates - ffsim 0.0.47
+    
+        State vectors and gates - ffsim 0.0.48
       
     
     
@@ -160,7 +160,7 @@
       
     
    
     
    
-      
    ffsim 0.0.47
    
+      
    ffsim 0.0.48
    
     
    
     
    
       
    
@@ -184,7 +184,7 @@
       
    
   
   
-  ffsim 0.0.47
+  ffsim 0.0.48
   
 
 
@@ -563,7 +563,7 @@ 
    Treating spinless fermions
+
    
     
     
     
diff --git a/explanations/state-vectors-and-gates.ipynb b/explanations/state-vectors-and-gates.ipynb
index a8d4b3f18..03037223a 100644
--- a/explanations/state-vectors-and-gates.ipynb
+++ b/explanations/state-vectors-and-gates.ipynb
@@ -26,10 +26,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-10-10T17:21:18.719941Z",
-     "iopub.status.busy": "2024-10-10T17:21:18.719728Z",
-     "iopub.status.idle": "2024-10-10T17:21:19.426888Z",
-     "shell.execute_reply": "2024-10-10T17:21:19.426214Z"
+     "iopub.execute_input": "2024-10-30T17:27:12.686986Z",
+     "iopub.status.busy": "2024-10-30T17:27:12.686516Z",
+     "iopub.status.idle": "2024-10-30T17:27:13.446932Z",
+     "shell.execute_reply": "2024-10-30T17:27:13.446285Z"
     }
    },
    "outputs": [
@@ -74,10 +74,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-10-10T17:21:19.429569Z",
-     "iopub.status.busy": "2024-10-10T17:21:19.429034Z",
-     "iopub.status.idle": "2024-10-10T17:21:19.436074Z",
-     "shell.execute_reply": "2024-10-10T17:21:19.435556Z"
+     "iopub.execute_input": "2024-10-30T17:27:13.449473Z",
+     "iopub.status.busy": "2024-10-30T17:27:13.448898Z",
+     "iopub.status.idle": "2024-10-30T17:27:13.457314Z",
+     "shell.execute_reply": "2024-10-30T17:27:13.456674Z"
     }
    },
    "outputs": [
@@ -120,10 +120,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-10-10T17:21:19.438001Z",
-     "iopub.status.busy": "2024-10-10T17:21:19.437662Z",
-     "iopub.status.idle": "2024-10-10T17:21:19.441804Z",
-     "shell.execute_reply": "2024-10-10T17:21:19.441353Z"
+     "iopub.execute_input": "2024-10-30T17:27:13.459711Z",
+     "iopub.status.busy": "2024-10-30T17:27:13.459291Z",
+     "iopub.status.idle": "2024-10-30T17:27:13.464094Z",
+     "shell.execute_reply": "2024-10-30T17:27:13.463424Z"
     }
    },
    "outputs": [
@@ -157,10 +157,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-10-10T17:21:19.443651Z",
-     "iopub.status.busy": "2024-10-10T17:21:19.443311Z",
-     "iopub.status.idle": "2024-10-10T17:21:19.447166Z",
-     "shell.execute_reply": "2024-10-10T17:21:19.446717Z"
+     "iopub.execute_input": "2024-10-30T17:27:13.466363Z",
+     "iopub.status.busy": "2024-10-30T17:27:13.465887Z",
+     "iopub.status.idle": "2024-10-30T17:27:13.470532Z",
+     "shell.execute_reply": "2024-10-30T17:27:13.469937Z"
     }
    },
    "outputs": [
@@ -199,10 +199,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-10-10T17:21:19.449198Z",
-     "iopub.status.busy": "2024-10-10T17:21:19.448854Z",
-     "iopub.status.idle": "2024-10-10T17:21:19.454457Z",
-     "shell.execute_reply": "2024-10-10T17:21:19.453944Z"
+     "iopub.execute_input": "2024-10-30T17:27:13.472845Z",
+     "iopub.status.busy": "2024-10-30T17:27:13.472504Z",
+     "iopub.status.idle": "2024-10-30T17:27:13.478847Z",
+     "shell.execute_reply": "2024-10-30T17:27:13.478263Z"
     }
    },
    "outputs": [
@@ -245,10 +245,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-10-10T17:21:19.456383Z",
-     "iopub.status.busy": "2024-10-10T17:21:19.456043Z",
-     "iopub.status.idle": "2024-10-10T17:21:19.461634Z",
-     "shell.execute_reply": "2024-10-10T17:21:19.461104Z"
+     "iopub.execute_input": "2024-10-30T17:27:13.480833Z",
+     "iopub.status.busy": "2024-10-30T17:27:13.480646Z",
+     "iopub.status.idle": "2024-10-30T17:27:13.488132Z",
+     "shell.execute_reply": "2024-10-30T17:27:13.487481Z"
     }
    },
    "outputs": [
@@ -293,10 +293,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-10-10T17:21:19.463650Z",
-     "iopub.status.busy": "2024-10-10T17:21:19.463330Z",
-     "iopub.status.idle": "2024-10-10T17:21:19.468339Z",
-     "shell.execute_reply": "2024-10-10T17:21:19.467756Z"
+     "iopub.execute_input": "2024-10-30T17:27:13.490610Z",
+     "iopub.status.busy": "2024-10-30T17:27:13.490421Z",
+     "iopub.status.idle": "2024-10-30T17:27:13.495381Z",
+     "shell.execute_reply": "2024-10-30T17:27:13.494922Z"
     }
    },
    "outputs": [
diff --git a/genindex.html b/genindex.html
index 01f03267c..38c0aad8c 100644
--- a/genindex.html
+++ b/genindex.html
@@ -4,7 +4,7 @@
     
     
 
-    Index - ffsim 0.0.47
+    Index - ffsim 0.0.48
 
     
     
@@ -157,7 +157,7 @@
       
     
    
     
    
-      
    ffsim 0.0.47
    
+      
    ffsim 0.0.48
    
     
    
     
    
       
    
@@ -181,7 +181,7 @@
       
    
   
   
-  ffsim 0.0.47
+  ffsim 0.0.48
   
 
 
@@ -279,10 +279,6 @@ 
    _
    
           
  • (ffsim.qiskit.DropNegligible method)
 
    • 
           
  • (ffsim.qiskit.FfsimSampler method)
-
    • 
-          
  • (ffsim.qiskit.GivensAnsatzOperatorJW method)
-
    • 
-          
  • (ffsim.qiskit.GivensAnsatzOperatorSpinlessJW method)
 
    • 
           
  • (ffsim.qiskit.GivensAnsatzOpJW method)
 
    • 
@@ -309,32 +305,12 @@ 
    _
    
           
  • (ffsim.qiskit.SimulateTrotterDiagCoulombSplitOpJW method)
 
    • 
           
  • (ffsim.qiskit.SimulateTrotterDoubleFactorizedJW method)
-
    • 
-          
  • (ffsim.qiskit.UCJOperatorJW method)
 
    • 
           
  • (ffsim.qiskit.UCJOpSpinBalancedJW method)
 
    • 
           
  • (ffsim.qiskit.UCJOpSpinlessJW method)
 
    • 
           
  • (ffsim.qiskit.UCJOpSpinUnbalancedJW method)
-
    • 
-        
-    
-    
@@ -489,22 +465,10 @@ 
    D
    
           
  • (ffsim.UCJOpSpinless attribute)
 
    • 
           
  • (ffsim.UCJOpSpinUnbalanced attribute)
-
    • 
-        
-        
  • diag_coulomb_mats_alpha_alpha (ffsim.RealUCJOperator attribute)
-
-        
    •