EF1 – Extracting Dynamical Laws from Complex Data



Quantum machine learning

Project Heads

Jens Eisert, Klaus-Robert Müller

Project Members

Frederik Wilde (FU) 

Project Duration

01.01.2019 – 31.12.2021

Located at

FU Berlin


One of the core tools used and developed in MATH+ is that of machine learning. This project suggests a concerted research program in a highly promising and novel kind of machine learning, that of quantum machine learning, in several flavors. Emphasis is on mathematical and conceptual method development, coordinated and in collaboration with other machine learning efforts in MATH+. However, a range of applications, ranging from communication technology to condensed-matter physics, will be explored as well.

Project Webpages

Selected Publications

Selected Pictures

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