Metadata-Version: 2.1
Name: SQSnobFit
Version: 0.4.5
Summary: SnobFit - Stable Noisy Optimization by Branch and FIT
Home-page: http://scikit-quant.org/
Maintainer: Wim Lavrijsen
Maintainer-email: WLavrijsen@lbl.gov
License: other
Keywords: quantum computing optimization
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Chemistry
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Software Development
Classifier: License :: Other/Proprietary License
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Natural Language :: English
Requires-Dist: numpy
Requires-Dist: SQCommon

.. -*- mode: rst -*-

SNOBFIT - Stable Noisy Optimization by Branch and FIT
=====================================================

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):
   A. Neumaier, University of Vienna

Copyright of modifications:
   UC Regents, Berkeley

Official website:
   https://www.mat.univie.ac.at/~neum/software/snobfit/

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
