Optimized Tabu solver for QUBOs
Project description
> :warning: Note: dwave-tabu is deprecated in favor of dwave-samplers.
dwave-tabu
A C/C++ implementation of the MST2 multistart tabu search algorithm for quadratic unconstrained binary optimization (QUBO) problems with a dimod sampler Python interface.
Installation
Install from a wheel on PyPI:
pip install dwave-tabu
Example
This example solves a two-variable Ising model.
>>> from tabu import TabuSampler
>>> response = TabuSampler().sample_ising({'a': -0.5, 'b': 1.0}, {('a', 'b'): -1})
License
Released under the Apache License 2.0. See LICENSE file.
Contributing
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