Summary

This webpage summarizes the QML (Quantum Machine Learning) Python toolkit developed by researchers at the University of Basel and the University of Bristol, as well as Technische Universitt Berlin and Korea University. The toolkit is available on GitHub and is cited using the following authors and year: Anders S. Christensen, Felix A. Faber, Bing Huang, Lars A. Bratholm, Alexandre Tkatchenko, Klaus-Robert Muller, and Oliver von Lilienfeld, 2017, "QML: A Python Toolkit for Quantum Machine Learning."

Title

QML: A Python Toolkit for Quantum Machine Learning — QML 0.4.0 documentation

Description

QML: A Python Toolkit for Quantum Machine Learning — QML 0.4.0 documentation

Keywords

university, learning, module, exercise, installing, python, basel, documentation, machine, representation, representations, tutorial, source, quantum, bristol, code, branch

NS Lookup

A 185.199.108.153

Dates

Created 2026-03-14

Updated 2026-03-14

Summarized 2026-03-15