Metadata-Version: 1.1
Name: wildcat
Version: 0.0.7
Summary: Wildcat Python SDK to Use Annealers
Home-page: https://github.com/mdrft/wildcat_qdk
Author: Shumpei Kobayashi
Author-email: skonb@w-ax.is
License: MIT
Download-URL: https://github.com/mdrft/wildcat_qdk/tarball/0.0.7
Description: [![Build Status](https://travis-ci.org/skonb/wildcat_qdk.svg?branch=feature%2Ftravis_ci)](https://travis-ci.org/skonb/wildcat_qdk)
        
        Wildcat Python SDK
        ===============================
        
        version number: 0.0.1
        author: Shumpei Kobayashi
        
        Overview
        --------
        
        Wildcat Python SDK to Use Annealers
        
        Installation / Usage
        --------------------
        
        To install use pip:
        
            $ pip install wildcat
        
        
        Or clone the repo:
        
            $ git clone https://github.com/mdrft/wildcat_qdk.git
            $ python setup.py install
            
        Contributing
        ------------
        
        TBD
        
        Example
        -------
        
        To find an optimal arrangement:
        ```python
        from wildcat.util.matrix import random_symmetric_matrix
        from wildcat.solver.ising_hamiltonian_solver import IsingHamiltonianSolver
        
             
        Jij = random_symmetric_matrix(size=40)
        solver = IsingHamiltonianSolver(ising_interactions=Jij)
        
        def callback(arrangement):
            e = solver.hamiltonian_energy(arrangement)
            print("Energy: ", e)
            print("Spins: ", arrangement)
        
        solver.solve(callback)
        ```
        
        
        
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
