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+, taking a rigorous perspective. Results along these line of thought are improved quantum stochastic gradient methods with full recovery guarantees. 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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