dimod 0.12.20

A shared API for binary quadratic model samplers.

dimod

dimod is a shared API for samplers. It provides:

• Classes for quadratic models—such as the binary quadratic model (BQM) class that contains Ising and QUBO models used by samplers such as the D-Wave quantum computer—and higher-order (non-quadratic) models.

• Reference examples of samplers and composed samplers.

• Abstract base classes for constructing new samplers and composed samplers.

>>> import dimod
...
>>> # Construct a problem
>>> bqm = dimod.BinaryQuadraticModel({0: -1, 1: 1}, {(0, 1): 2}, 0.0, dimod.BINARY)
...
>>> # Use dimod's brute force solver to solve the problem
>>> sampleset = dimod.ExactSolver().sample(bqm)
>>> print(sampleset)
   0  1 energy num_oc.
1  1  0   -1.0       1
0  0  0    0.0       1
3  0  1    1.0       1
2  1  1    2.0       1
['BINARY', 4 rows, 4 samples, 2 variables]

For explanations of the terminology, see the Ocean glossary.

See the documentation for more examples.

Installation

Installation from PyPI:

pip install dimod

License

Released under the Apache License 2.0. See LICENSE file.

Contributing

Ocean’s contributing section has guidelines for contributing to Ocean packages.

dimod includes some formatting customization in the .clang-format and setup.cfg files.

Release Notes

dimod makes use of reno to manage its release notes.

When making a contribution to dimod that will affect users, create a new release note file by running

reno new your-short-descriptor-here

You can then edit the file created under releasenotes/notes/. Remove any sections not relevant to your changes. Commit the file along with your changes.

See reno’s user guide for details.