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15.0 > Academic > dwave-hybrid (0.6.9)

  A general, minimal Python framework for building hybrid asynchronous
decomposition samplers for quadratic unconstrained binary optimization
(QUBO) problems.

  dwave-hybrid facilitates three aspects of solution development:

  - Hybrid approaches to combining quantum and classical compute
    resources
  - Evaluating a portfolio of algorithmic components and
    problem-decomposition trategies
  - Experimenting with workflow structures and parameters to obtain
    the best application results

  The framework enables rapid development and insight into expected
performance of productized versions of its experimental prototypes.

Maintained by: William PC
Keywords: quantum,quantum annealing,quadratic unconstrained binary optimization,dwave,d-wave
ChangeLog: dwave-hybrid