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| README | 656a399dad academic/dwave-hybrid: Added (Hybrid Async Decomposition Sampler) | 2 rokov pred |
| dwave-hybrid.SlackBuild | 656a399dad academic/dwave-hybrid: Added (Hybrid Async Decomposition Sampler) | 2 rokov pred |
| dwave-hybrid.info | 656a399dad academic/dwave-hybrid: Added (Hybrid Async Decomposition Sampler) | 2 rokov pred |
| slack-desc | 656a399dad academic/dwave-hybrid: Added (Hybrid Async Decomposition Sampler) | 2 rokov pred |
README
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.
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.