In our research we are interested in a variety of different quantum many-body problems at the interface between quantum many-body theory, quantum simulation, quantum information, and machine learning.

This includes the development of a theory of dynamical quantum phase transitions, which is an attempt to extend fundamental equilibrium concepts such as universality and scaling to the dynamical far-from equilibrium regime. Furthermore, our research includes topics such as many-body localization in interacting strongly disordered systems, entanglement in quantum many-body systems, or utilizing machine learning techniques as a new tool to describe correlated quantum states.

Below you can find a selection of recent research conducted in this group.

This experiment has been selected as one of the top ten breakthroughs in physics in the year 2016 by the magazine Physics World.

See viewpoint: Quantum Phase Transitions Go Dynamical