The followings are a summary of codes for using quantum annealing.
These will be published in a textbook of "quantum annealing and information processing of statistical mechanics" on early 2020.
If you find any problems while checking the following codes, please tell me from issues.
issues
You can see the following codes through the nbviewer: nbviewer
In addition, you can run the following codes through the Google Colaboratory: Google Colaboratory
Please install pyqubo and openjij in your environment or in Google Collaboratory:
pip install pyqubo
pip install openjij
pyqubo is a good tool for implementing the Ising model from the form of equation provided by the Recruit Communications Co. Ltd.
openjij is a labirary for simulating the simulated annealing, quantum annealing and various methods in statistical mechanics provided by the Jij Inc.
| index | title | nbviewer | Open in Colab |
|---|---|---|---|
| 1 | number_partition.ipynb |  |
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| 2 | graph_partition.ipynb | |
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| 3 | max_clique.ipynb | |
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| 4 | graph_coloring.ipynb | |
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| 5 | knapsack_problem.ipynb | |
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| 6 | jobsequencing.ipynb | |
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| 7 | dwave-number_partition.ipynb | |
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| 8 | dwave-hybrid_number_partition.ipynb | |