Research group Schmitt
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.
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 …
Learn about our group’s work at the DPG Spring Meeting 2026: Optimization and Representability of time-dependent Neural Quantum States: a study of the 1D critical quantum Ising model Compression of Floquet random circuits Enhancing efficiency of local-information time evolution Operator Lanczos approach enabling neural …
We welcome Sven, who joins our team as a new Postdoc. Sven will investigate the inner workings of neural quantum states and what this means for time evolution.