local-mode-routing.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from qiskit.circuit.library import EfficientSU2\n",
    "from qiskit.transpiler import PassManager\n",
    "\n",
    "from qiskit_ibm_transpiler.ai.routing import AIRouting"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Let's get the ibm_fez coupling map "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from qiskit_ibm_runtime import QiskitRuntimeService\n",
    "\n",
    "backend = QiskitRuntimeService().backend(\"ibm_fez\")\n",
    "fez_coupling_map = backend.coupling_map"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create a circuit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Original circuit -> Depth: 104, Gates(2q): 100\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 1766.85x1678.91 with 1 Axes>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "circuit = EfficientSU2(100, entanglement=\"circular\", reps=1).decompose()\n",
    "print(\n",
    "    f\"Original circuit -> Depth: {circuit.depth()}, Gates(2q): {circuit.num_nonlocal_gates()}\"\n",
    ")\n",
    "circuit.draw(output=\"mpl\", fold=-1, scale=0.2, style=\"iqp\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Optimize the circuit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "ai_transpiler = PassManager(\n",
    "    [\n",
    "        AIRouting(\n",
    "            coupling_map=fez_coupling_map, optimization_level=1, layout_mode=\"optimize\"\n",
    "        )\n",
    "    ]\n",
    ")\n",
    "\n",
    "ai_transpiled_circuit = ai_transpiler.run(circuit)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Qiskit AI Transpiler -> Depth: 291, Gates(2q): 295\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 5263.49x2615.36 with 1 Axes>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(\n",
    "    f\"Qiskit AI Transpiler -> Depth: {ai_transpiled_circuit.depth()}, Gates(2q): {ai_transpiled_circuit.num_nonlocal_gates()}\"\n",
    ")\n",
    "ai_transpiled_circuit.draw(output=\"mpl\", fold=-1, scale=0.2, style=\"iqp\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv-qiskit-ibm-transpiler",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}