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Quantum Machine Learning

Project description

QML: A Python Toolkit for Quantum Machine Learning

|Build Status| |doi| |doi|

QML is a Python2/3-compatible toolkit for representation learning of
properties of molecules and solids.

Current list of contributors:

- Anders S. Christensen (University of Basel)
- Felix A. Faber (University of Basel)
- Bing Huang (University of Basel)
- Lars A. Bratholm (University of Copenhagen)
- Alexandre Tkatchenko (University of Luxembourg)
- Klaus-Robert Muller (Technische Universitat Berlin/Korea University)
- O. Anatole von Lilienfeld (University of Basel)

1) Citing QML:

Until the preprint is available from arXiv, please cite this GitHub
repository as:


AS Christensen, LA Bratholm, FA Faber, B Huang, A Tkatchenko, KR Muller, OA von Lilienfeld (2017) "QML: A Python Toolkit for Quantum Machine Learning"

2) Get help:

Documentation and installation instruction is found at:

3) License:

QML is freely available under the terms of the MIT license.

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.. |doi| image::
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Project details

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Files for qml, version
Filename, size File type Python version Upload date Hashes
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