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Py-dwave-samplers
Jul 20, 2023
DWave: Classical algorithms for solving binary quadratic models
Ocean software provides a variety of quantum, classical, and quantum-classical dimod samplers that run either remotely for example, in D-Wave’s Leap environment or locally on your CPU.
dwave-samplers implements the following classical algorithms for solving binary quadratic models BQM
- Random a sampler that draws uniform random samples.
- Simulated Annealing a probabilistic heuristic for optimization and approximate Boltzmann sampling well suited to finding good solutions of large problems.
- Steepest Descent a discrete analogue of gradient descent, often used in machine learning, that quickly finds a local minimum.
- Tabu a heuristic that employs local search with methods to escape local minima.
- Tree Decomposition an exact solver for problems with low treewidth.
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