Metadata-Version: 2.1
Name: scikit-quant
Version: 0.8.1
Summary: Integrator for Python-based quantum computing software
Home-page: http://scikit-quant.org
Maintainer: Wim Lavrijsen
Maintainer-email: WLavrijsen@lbl.gov
License: LBNL BSD
Description: scikit-quant
        ============
        
        scikit-quant is an aggregator package to improve interoperability between
        quantum computing software packages.
        Our first focus in on classical optimizers, making the state-of-the art from
        the Applied Math community available in Python for use in quantum computing.
        
        Full documentation: https://scikit-quant.readthedocs.io/
        
        Website: http://scikit-quant.org
        
        
        Installation
        ------------
        
           pip install sckit-quant
        
        
        Usage
        -----
        
        Basic example (component interfaces for standard quantum programming
        frameworks and for SciPy are available as well)::
        
            import numpy as np
            from skquant.opt import minimize
        
            # some interesting objective function to minimize
            def objective_function(x):
                fv = np.inner(x, x)
                fv *= 1 + 0.1*np.sin(10*(x[0]+x[1]))
                return np.random.normal(fv, 0.01)
        
           # create a numpy array of bounds, one (low, high) for each parameter
           bounds = np.array([[-1, 1], [-1, 1]], dtype=float)
        
           # budget (number of calls, assuming 1 count per call)
           budget = 40
        
           # initial values for all parameters
           x0 = np.array([0.5, 0.5])
        
           # method can be ImFil, SnobFit, Orbit, NOMAD, or Bobyqa
           result, history = \
               minimize(objective_function, x0, bounds, budget, method='imfil')
        
Keywords: quantum computing optimizers
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
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 :: OSI Approved :: BSD 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 :: C++
Classifier: Natural Language :: English
Provides-Extra: NOMAD
