squlearn 0.2.0

A library for quantum machine learning following the sklearn standard.

sQUlearn 0.2.0

Note: This is an early access version! Not everything that is described is already working 100%.

Prerequisites

The package requires at least Python 3.9.

Installation

Stable Release

To install the stable release version of sQUlearn, run the following command:

pip install squlearn

Alternatively, you can install sQUlearn directly from GitHub via

pip install git+ssh://[e-mail]:sQUlearn/squlearn.git

Examples

There are several more elaborate examples available in the folder ./examples which display the features of this package. Tutorials for beginners can be found at ./examples/tutorials.

To install the required packages, run

pip install .[examples]

Contribution

Thanks for considering to contribute to sQUlearn! Please read our contribution guidelines before you submit a pull request.

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License

Apache License 2.0

Imprint

This project is maintained by the quantum computing group at the Fraunhofer Institute for Manufacturing Engineering and Automation IPA. It started as a collection of implementations of quantum machine learning methods.

http://www.ipa.fraunhofer.de/quantum

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