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Optimized Tabu solver for QUBOs

Project description

> :warning: Note: dwave-tabu is deprecated in favor of dwave-samplers.

Linux/MacOS/Windows build status Code coverage Documentation Status Latest version on PyPI PyPI - Python Version


A C/C++ implementation of the MST2 multistart tabu search algorithm for quadratic unconstrained binary optimization (QUBO) problems with a dimod sampler Python interface.


Install from a wheel on PyPI:

pip install dwave-tabu


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})


Released under the Apache License 2.0. See LICENSE file.


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