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Co-authored-by: Elena Peña Tapia <[email protected]> Co-authored-by: a-matsuo <[email protected]> Co-authored-by: Elena Peña Tapia <[email protected]>
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# Qiskit Patterns Lab Prep Work | ||
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## Requirements | ||
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- Laptop (Windows, MacOS or Linux), access to a terminal | ||
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## Instructions | ||
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1. Follow the instructions on https://docs.quantum.ibm.com/start/install#install-and-set-up-qiskit-with-the-qiskit-runtime-client | ||
to install and set up a Python environment with Qiskit. Activate your environment. | ||
2. Follow the instructions on https://docs.quantum.ibm.com/start/setup-channel#iqp to set up your access credentials to use | ||
IBM Quantum systems. Only focus on the IBM Quantum Platform instructions, no need to worry about the IBM Cloud setup. | ||
3. Clone this repository running `git clone https://github.com/qiskit-community/qopt-best-practices.git` | ||
4. Navigate to the `demos/qiskit_patterns` directory using the terminal | ||
5. Run `pip install -r requirements.txt` | ||
6. Activate your jupyter environment running `jupyter notebook` in your environment, this should open a browser window | ||
that shows the contents of the `qiskit_patterns` directory | ||
7. Open `1_test_installation.ipynb` and follow the instructions to test that the installation was successful |
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": { | ||
"pycharm": { | ||
"name": "#%% md\n" | ||
} | ||
}, | ||
"source": [ | ||
"# Installation Test\n", | ||
"\n", | ||
"Run the cell below (press `Shift` + `Enter`) to check that all the imports work correctly. If you see the 🎉 emoji as the cell output, your installation was successful." | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": { | ||
"pycharm": { | ||
"name": "#%%\n" | ||
} | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"import matplotlib.pyplot\n", | ||
"import networkx as nx\n", | ||
"from qiskit_ibm_runtime.fake_provider import FakeVigoV2\n", | ||
"from qiskit import qpy\n", | ||
"from qiskit_aer import Aer\n", | ||
"from qiskit_optimization.applications import Maxcut\n", | ||
"print(\"Your installation works 🎉!\")" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"If you have followed the installation instructions (i.e. you have run `pip install -r requirements.txt`) and you get a `module not found` error, your jupyter environment might not be using the right Python kernel. You can try following the following instructions to register your kernel: https://saturncloud.io/blog/how-to-add-a-python-3-kernel-to-jupyter-ipython/." | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": { | ||
"pycharm": { | ||
"name": "#%%\n" | ||
} | ||
}, | ||
"source": [ | ||
"If you have not done so yet, you can use the cell below to check that your IBM Quantum Platform account registration has been successful. The backend retrieval step may take a couple of seconds." | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": { | ||
"pycharm": { | ||
"name": "#%%\n" | ||
} | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"from qiskit_ibm_runtime import QiskitRuntimeService\n", | ||
"\n", | ||
"service = QiskitRuntimeService()\n", | ||
"print(\"Your available backends are: \", service.backends())" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": { | ||
"pycharm": { | ||
"name": "#%% md\n" | ||
} | ||
}, | ||
"source": [ | ||
"If your service authentication fails (you get an `IBMNotAuthorizedError`), you can try saving your account again. Make sure to replace `\"<MY_IBM_QUANTUM_TOKEN>\"` with your token in string format (example: `service = QiskitRuntimeService(channel=\"ibm_quantum\", token=\"1234abcd\")`)." | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": { | ||
"pycharm": { | ||
"name": "#%%\n" | ||
} | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"from qiskit_ibm_runtime import QiskitRuntimeService\n", | ||
"\n", | ||
"# Save an IBM Quantum account and set it as your default account.\n", | ||
"QiskitRuntimeService.save_account(channel=\"ibm_quantum\", token=\"<MY_IBM_QUANTUM_TOKEN>\", overwrite=True, set_as_default=True)\n", | ||
"\n", | ||
"# Load saved credentials\n", | ||
"service = QiskitRuntimeService()" | ||
] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "ibm_tech_clean", | ||
"language": "python", | ||
"name": "ibm_tech_clean" | ||
}, | ||
"language_info": { | ||
"codemirror_mode": { | ||
"name": "ipython", | ||
"version": 3 | ||
}, | ||
"file_extension": ".py", | ||
"mimetype": "text/x-python", | ||
"name": "python", | ||
"nbconvert_exporter": "python", | ||
"pygments_lexer": "ipython3", | ||
"version": "3.10.0" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 1 | ||
} |
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\ This file has been generated by DOcplex | ||
\ ENCODING=ISO-8859-1 | ||
\Problem name: CPLEX | ||
|
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Minimize | ||
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- 4 x4^2 - 8 x4*x5 + 8 x4*x14 + 8 x5*x6 - 8 x6^2 + 8 x6*x7 - 8 x7^2 | ||
+ 8 x7*x8 - 12 x8^2 + 8 x8*x9 + 8 x8*x15 - 8 x9*x10 + 8 x10^2 - 8 x10*x11 | ||
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- 4 x116^2 + 8 x116*x117 - 8 x117^2 + 8 x117*x118 - 8 x118*x119 | ||
+ 8 x119*x120 + 4 x120^2 - 8 x120*x121 + 8 x121^2 - 8 x121*x122 + 8 x122^2 | ||
- 8 x122*x123 + 8 x123*x124 - 8 x124^2 ]/2 + 4 | ||
Subject To | ||
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Bounds | ||
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Binaries | ||
x0 x1 x2 x3 x4 x5 x6 x7 x8 x9 x10 x11 x12 x13 x14 x15 x16 x17 x18 x19 x20 x21 | ||
x22 x23 x24 x25 x26 x27 x28 x29 x30 x31 x32 x33 x34 x35 x36 x37 x38 x39 x40 x41 | ||
x42 x43 x44 x45 x46 x47 x48 x49 x50 x51 x52 x53 x54 x55 x56 x57 x58 x59 x60 x61 | ||
x62 x63 x64 x65 x66 x67 x68 x69 x70 x71 x72 x73 x74 x75 x76 x77 x78 x79 x80 x81 | ||
x82 x83 x84 x85 x86 x87 x88 x89 x90 x91 x92 x93 x94 x95 x96 x97 x98 x99 x100 | ||
x101 x102 x103 x104 x105 x106 x107 x108 x109 x110 x111 x112 x113 x114 x115 x116 | ||
x117 x118 x119 x120 x121 x122 x123 x124 | ||
End |
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