An Amplify-based library to facilitate black-box optimization
Project description
Amplify-BBOpt
Amplify-BBOpt is a Python package to facilitate the execution of black-box optimization developed by Fixstars Amplify.
- Documentation: https://amplify.fixstars.com/docs/amplify-bbopt/v0/
- Contributing (bug reports, improvements): https://amplify.fixstars.com/en/contact
Amplify-BBOpt is built around the Amplify SDK. Annealing-based black-box optimization methods, FMQA and kernel-QA, are available in conjunction with quantum annealing machines and Ising machines (hence using Amplify SDK). Important features include (but not limited to):
- Easy to run and change methods
- Applicability to high-dimensional problems
- Consideration of constraints
- Multi-objective optimization
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
amplify_bbopt-0.2.2.tar.gz
(59.0 kB
view hashes)
Built Distribution
Close
Hashes for amplify_bbopt-0.2.2-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 4cb2ec007b322c37e2b0c05bc60d615c194917f25a3aaf727d590467816fc03d |
|
| MD5 | 1976dab0f8c4a7ab1f4599db891381f9 |
|
| BLAKE2b-256 | c1e114932f33f5beec5d93065c13f2bbc16ef887edca26f8bbfd6de58433aebe |
