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15 lines
637 B
Text
15 lines
637 B
Text
A general, minimal Python framework for building hybrid asynchronous
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decomposition samplers for quadratic unconstrained binary optimization
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(QUBO) problems.
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dwave-hybrid facilitates three aspects of solution development:
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- Hybrid approaches to combining quantum and classical compute
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resources
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- Evaluating a portfolio of algorithmic components and
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problem-decomposition trategies
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- Experimenting with workflow structures and parameters to obtain
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the best application results
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The framework enables rapid development and insight into expected
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performance of productized versions of its experimental prototypes.
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