We pursue novel computational approaches to investigate many-body quantum phenomena.
In our
research, we have a strong focus on the development of innovative computational methods that employ modern machine learning techniques for this purpose. With these tools we aim to break new ground enabling the discovery, detailed investigation, and control of complex quantum states and dynamics.
Our group is based at the
University of Regensburg and it is part of
PGI-8 at FZ Jülich.
Heads up: the registration deadline is almost here – November 11, 2026!
Mark your calendars for January 17-21, 2027: We are co-organizing the 875th WE-Heraeus-Seminar “Generative Modeling in Quantum Science” together with Markus Heyl (Augsburg) and Vedran Dunjko (Leiden) at the Physikzentrum Bad Honnef. We’ll be asking …
In the beginning of this week, we had a fantastic workshop in Würzburg to kick off our new DFG Research Unit FOR5919 “Machine Learning for Complex Quantum States”. Together with the participants and three invited speakers we discussed various topics ranging from machine learning-enhanced quantum gas experiments to …