PyQUBO
PyQUBO allows you to create QUBOs or Ising models from flexible mathematical expressions easily. Some of the features of PyQUBO are
Python based (C++ backend).
Fully integrated with Ocean SDK. (details)
Automatic validation of constraints. (details)
Placeholder for parameter tuning. (details)
For more details, see PyQUBO Documentation.
Example Usage
Creating QUBO
This example constructs a simple expression and compile it to model. By calling model.to_qubo(), we get the resulting QUBO. (This example solves Number Partitioning Problem with a set S = {4, 2, 7, 1})
>>> from pyqubo import Spin
>>> s1, s2, s3, s4 = Spin("s1"), Spin("s2"), Spin("s3"), Spin("s4")
>>> H = (4*s1 + 2*s2 + 7*s3 + s4)**2
>>> model = H.compile()
>>> qubo, offset = model.to_qubo()
>>> pprint(qubo)
{('s1', 's1'): -160.0,
('s1', 's2'): 64.0,
('s2', 's2'): -96.0,
('s3', 's1'): 224.0,
('s3', 's2'): 112.0,
('s3', 's3'): -196.0,
('s4', 's1'): 32.0,
('s4', 's2'): 16.0,
('s4', 's3'): 56.0,
('s4', 's4'): -52.0}
Integration with D-Wave Ocean
PyQUBO can output the BinaryQuadraticModel(BQM) which is compatible with Sampler class defined in D-Wave Ocean SDK. In the example below, we solve the problem with SimulatedAnnealingSampler.
>>> import neal
>>> sampler = neal.SimulatedAnnealingSampler()
>>> bqm = model.to_bqm()
>>> sampleset = sampler.sample(bqm, num_reads=10)
>>> decoded_samples = model.decode_sampleset(sampleset)
>>> best_sample = min(decoded_samples, key=lambda x: x.energy)
>>> best_sample.sample # doctest: +SKIP
{'s1': 0, 's2': 0, 's3': 1, 's4': 0}
If you want to solve the problem by actual D-Wave machines, just replace the sampler by a DWaveCliqueSampler instance, for example.
For more examples, see example notebooks.
Installation
pip install pyquboor
python setup.py installSupported Python Versions
Python 3.5, 3.6, 3.7 and 3.8 are supported.
Supported Operating Systems
Linux (32/64bit)
OSX (64bit, >=10.9)
Win (64bit)
Test
Run all tests.
python -m unittest discover testShow coverage report.
coverage run -m unittest discover
coverage htmlRun test with circleci CLI.
circleci build --job $JOBNAMERun doctest.
make doctestDependency
This repository contains the source code of cimod which is licensed under the Apache License 2.0. cimod is the C++ header-only library for a binary quadratic model, developed by OpenJij.
Citation
If you use PyQUBO in your research, please cite this paper.
@article{tanahashi2019application,
title={Application of Ising Machines and a Software Development for Ising Machines},
author={Tanahashi, Kotaro and Takayanagi, Shinichi and Motohashi, Tomomitsu and Tanaka, Shu},
journal={Journal of the Physical Society of Japan},
volume={88},
number={6},
pages={061010},
year={2019},
publisher={The Physical Society of Japan}
}
Organization
Recruit Communications Co., Ltd.
Licence
Released under the Apache License 2.0.
Contribution
We welcome contributions to this project. See CONTRIBUTING.
1 maintainer
Metadata
1 maintainer
Release files for pyqubo 1.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pyqubo-1.0.4.tar.gz | 18.5 kB | Details |
Built distributions (wheels)
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| pyqubo-1.0.4-py3.8-macosx-10.9-x86_64.egg | Legacy Egg format | - | - | Details |
| pyqubo-1.0.4-py3.7-macosx-10.9-x86_64.egg | Legacy Egg format | - | - | Details |
| pyqubo-1.0.4-py3.6-macosx-10.9-x86_64.egg | Legacy Egg format | - | - | Details |
| pyqubo-1.0.4-py3.5-macosx-10.9-x86_64.egg | Legacy Egg format | - | - | Details |
| pyqubo-1.0.4-cp38-cp38-win_amd64.whl | CPython 3.8 | CPython 3.8 | Windows x86-64 | Details |
| pyqubo-1.0.4-cp38-cp38-manylinux1_x86_64.whl | CPython 3.8 | CPython 3.8 | Linux glibc 2.5+ x86-64 | Details |
| pyqubo-1.0.4-cp38-cp38-manylinux1_i686.whl | CPython 3.8 | CPython 3.8 | Linux glibc 2.5+ x86-32 | Details |
| pyqubo-1.0.4-cp38-cp38-macosx_10_9_x86_64.whl | CPython 3.8 | CPython 3.8 | macOS 10.9+ x86-64 | Details |
| pyqubo-1.0.4-cp37-cp37m-win_amd64.whl | CPython 3.7 | CPython 3.7 pymalloc | Windows x86-64 | Details |
| pyqubo-1.0.4-cp37-cp37m-manylinux1_x86_64.whl | CPython 3.7 | CPython 3.7 pymalloc | Linux glibc 2.5+ x86-64 | Details |
| pyqubo-1.0.4-cp37-cp37m-manylinux1_i686.whl | CPython 3.7 | CPython 3.7 pymalloc | Linux glibc 2.5+ x86-32 | Details |
| pyqubo-1.0.4-cp37-cp37m-macosx_10_9_x86_64.whl | CPython 3.7 | CPython 3.7 pymalloc | macOS 10.9+ x86-64 | Details |
| pyqubo-1.0.4-cp36-cp36m-win_amd64.whl | CPython 3.6 | CPython 3.6 pymalloc | Windows x86-64 | Details |
| pyqubo-1.0.4-cp36-cp36m-manylinux1_x86_64.whl | CPython 3.6 | CPython 3.6 pymalloc | Linux glibc 2.5+ x86-64 | Details |
| pyqubo-1.0.4-cp36-cp36m-manylinux1_i686.whl | CPython 3.6 | CPython 3.6 pymalloc | Linux glibc 2.5+ x86-32 | Details |
| pyqubo-1.0.4-cp36-cp36m-macosx_10_9_x86_64.whl | CPython 3.6 | CPython 3.6 pymalloc | macOS 10.9+ x86-64 | Details |
| pyqubo-1.0.4-cp35-cp35m-win_amd64.whl | CPython 3.5 | CPython 3.5 pymalloc | Windows x86-64 | Details |
| pyqubo-1.0.4-cp35-cp35m-manylinux1_x86_64.whl | CPython 3.5 | CPython 3.5 pymalloc | Linux glibc 2.5+ x86-64 | Details |
| pyqubo-1.0.4-cp35-cp35m-manylinux1_i686.whl | CPython 3.5 | CPython 3.5 pymalloc | Linux glibc 2.5+ x86-32 | Details |
| pyqubo-1.0.4-cp35-cp35m-macosx_10_9_x86_64.whl | CPython 3.5 | CPython 3.5 pymalloc | macOS 10.9+ x86-64 | Details |
Total release size: 4.6 MB
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Release files / pyqubo-1.0.4-cp35-cp35m-manylinux1_x86_64.whl
| Download URL | pyqubo-1.0.4-cp35-cp35m-manylinux1_x86_64.whl |
|---|---|
| Size | 247.0 kB |
| Tags | CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.5+ x86-64 |
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Release files / pyqubo-1.0.4-cp35-cp35m-manylinux1_i686.whl
| Download URL | pyqubo-1.0.4-cp35-cp35m-manylinux1_i686.whl |
|---|---|
| Size | 247.4 kB |
| Tags | CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.5+ x86-32 |
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SHA-256 checksum How to use checksums |
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twine/1.15.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.6.12
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Release files / pyqubo-1.0.4-cp35-cp35m-macosx_10_9_x86_64.whl
| Download URL | pyqubo-1.0.4-cp35-cp35m-macosx_10_9_x86_64.whl |
|---|---|
| Size | 218.3 kB |
| Tags | CPython 3.5 CPython 3.5 pymalloc macOS 10.9+ x86-64 |
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SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/1.15.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.5.8
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