SnobFit is intended for optimizing on derivative-free, noisy, blackbox functions. This modified version has preset defaults as intended for hybrid quantum-classical algorithms run on Noisy Intermediate Scale Quantum (NISQ) computers.
This version of SNOBFIT was modified and redistributed with permission.
- Copyright of original (v2.1):
Neumaier, University of Vienna
- Copyright of modifications:
UC Regents, Berkeley
- Official website:
- Reference:
W. Huyer and A. Neumaier, “Snobfit - Stable Noisy Optimization by Branch and Fit”, ACM Trans. Math. Software 35 (2008), Article 9. https://www.mat.univie.ac.at/~neum/ms/snobfit.pdf
1 maintainer
Release files for SQSnobFit 0.4.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| SQSnobFit-0.4.5.tar.gz | 29.1 kB | Details |
Release files / SQSnobFit-0.4.5.tar.gz
| Download URL | SQSnobFit-0.4.5.tar.gz |
|---|---|
| Size | 29.1 kB |
| Tags | Source |
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de652aca1fa998dc2235b18d4caec5a225847d40b411f0351fab6f2d4877300f
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twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.5
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