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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
- 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


Source Downloads:
dwave-hybrid-0.6.9.tar.gz (406d8439c122b7e6f1dd6b3427f5c954)

Download SlackBuild:
dwave-hybrid.tar.gz.asc (FAQ)

(the SlackBuild does not include the source)

Validated for Slackware 15.0

See our HOWTO for instructions on how to use the contents of this repository.

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