Speaker
Markus Schmitt
(Regensburg University)
Description
Experiments with Rydberg atom arrays open up new possibilities to investigate two-dimensional interacting quantum systems away from equilibrium and they call for us to push also numerical simulations in this regime. I will discuss how combining the time-dependent variational principle with two families of ansatz for the variational wave function — artificial neural networks and tree tensor networks — allows us to address some of the challenges. Thereby, we gain insights into the dynamics across a quantum phase transition and of ferromagnetic domain interfaces in the two-dimensional quantum Ising model that is experimentally realized in Rydberg quantum simulators.