Metadata-Version: 2.1
Name: scikit-quantum
Version: 0.0.6
Summary: Quantum Computing in Python
Home-page: https://github.com/scikit-quantum/scikit-quantum
Author: scikit-quantum developers
Author-email: kallada@cs.dal.ca
License: UNKNOWN
Project-URL: Bug Reports, https://github.com/scikit-quantum/scikit-quantum/issues
Project-URL: Source, https://github.com/scikit-quantum/scikit-quantum/
Keywords: scikit scikit-learn quantum machine learning
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Requires-Python: >=3.0, <4
Description-Content-Type: text/markdown
Provides-Extra: dev
Requires-Dist: check-manifest ; extra == 'dev'
Provides-Extra: test
Requires-Dist: coverage ; extra == 'test'


![scikit-quantum logo](https://scikit-quantum.com/html/_static/logo.png)

# scikit-quantum

scikit-quantum is a Python module for quantum computing and quantum machine learning built primarily on top of PennyLane and is distributed under the Apache 2.0 license.

scikit-quantum is aimed to provide a user-friendly API while still harnessing the power of a quantum device. The goal is to create a set of tools that are vendor agnostic (although that has limited feasibility at this time), and bring the power of several quantum algorithms to new users.

# Building the Documentation

We use GitHub pages to host our documentation. 

The user-guide and manual for scikit-quantum can be found at: https://scikit-quantum.com

To compile the docs to the `docs` folder run:

> make -f build_tools/build_docs/Makefile html


