A set of python modules for quantum enhanced machine learning algorithms
Project description
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
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