The dynamics of strongly correlated quantum fields is at the heart of many pressing questions of modern theoretical physics. How does the Quark-Gluon-Plasma in a heavy-ion collision develop over time? How is energy and momentum exchanged among the microscopic constituents of ultracold quantum gases? Neither of these questions has been answered from first principles to date.
Machine learning has developed at an astonishing pace over the past decade. In DeepRTP we apply deep learning to the exploration of real-time dynamics of quantum fields in two ways. On the one hand we develop novel methods to extract real-time dynamics from conventional Euclidean time simulations. On the other hand we attempt to use machine learning to implement direct simulations in Minkowski time.
We are hiring the first project member. Our job advertisement for a PhD position is online at the jobbnorge portal.
Principal Investigator & Team Leader
Collaborator at Heidelberg University
Collaborator at UiS