Metadata-Version: 2.1
Name: scikit-qlearn
Version: 1.0
Summary: A set of python modules for quantum enhanced machine learning algorithms
Home-page: https://github.com/danmohedano/scikit-qlearn
Author: Daniel Mohedano
Author-email: danimohedano1998@gmail.com
License: UNKNOWN
Keywords: quantum,machine learning,ai
Platform: UNKNOWN
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3 :: Only
Requires-Python: >=3.7, <4
Description-Content-Type: text/markdown
License-File: LICENSE

scikit-qlearn: Quantum Enhanced Machine Learning
=================================================

This package offers a variety of functions and classes related to quantum computing and quantum enhanced machine learning algorithms.

The package makes use of the open-source `Qiskit SDK <https://qiskit.org/>`_ for the execution of quantum processes.

It was orginally developed as part of my end-of-degree thesis for my Computer Engineering degree at UAM.

Installation
=============
Currently, the package is available for Python versions 3.7-3.10, regardless of platform. Stable versions are available for install via `PyPI <https://pypi.org/project/scikit-qlearn/>`_:

.. code-block:: bash

   pip install scikit-qlearn

The latest version can also be manually installed by cloning the main branch of the repository:

.. code-block:: bash

   git clone https://github.com/danmohedano/scikit-qlearn.git
   pip install ./scikit-qlearn

Requirements
--------------
*scikit-qlearn* depends on the following packages:

* `qiskit <https://github.com/Qiskit>`_: Open-source SDK for working with quantum computers at the level of pulses, circuits, and algorithms.
* `numpy <https://github.com/numpy/numpy>`_ - The fundamental package for scientific computing with Python


