Quantum many-body dynamics in two dimensions with artificial neural networks

Time:  15:00 PM (Taipei time)  08:00 (CET)
Venue: Online Zoom [Registration] is required
Speaker: Prof. Dr. Markus Heyl (University of Augsburg)
Title: Quantum many-body dynamics in two dimensions with artificial neural networks.
Abstract: In the last two decades the field of nonequilibrium quantum many-body physics has seen a rapid development driven, in particular, by the remarkable progress in quantum simulators, which today provide access to dynamics in quantum matter with an unprecedented control. However, the efficient numerical simulation of nonequilibrium real-time evolution in isolated quantum matter still remains a key challenge for current computational methods especially beyond one spatial dimension. In this talk I will present a versatile and efficient machine learning inspired approach. I will first introduce the  general idea of encoding quantum many-body wave functions into artificial  neural networks. I will then identify and resolve key challenges for the  simulation of real-time evolution, which previously imposed significant  limitations on the accurate description of large systems and long-time  dynamics. As a concrete example, I will consider the dynamics of the  paradigmatic two-dimensional transverse field Ising model, where we demonstrate  that the reached time scales are comparable to or exceed the capabilities of  state-of-the-art tensor network methods.

Zoom Link: https://us02web.zoom.us/j/83936316780?pwd=SEppUTZlcnYvbXlBaVc2S3A1RXdFZz09