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A shared API for binary quadratic model samplers.

Project description

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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

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