Today:
Additive Manufacturing of Active and Passive Optical Components
Prof. Dr. Andreas Heinrich (Aalen University)
10:00
High Impedance Quantum Circuits
Dr. Ioan Pop
11:15
Upcoming:
Audible Axions
Prof. Pedro Schwaller
Mon, 25 Nov 2019, 16:30
Low-scale inflation and QCD axion
Wen Yin
Tue, 26 Nov 2019, 14:00
Active galactic nuclei as cosmological probes
Elisabeta Lusso
Tue, 26 Nov 2019, 15:15

Non-equilibrium dynamics in two-dimensional quantum matter from (deep) neural networks

Dr. Markus Schmitt , University of California, Berkeley, USA

Despite a growing number of realizations in experiment the efficient numerical simulation of real time evolution of isolated quantum many-body systems far from equilibrium remains challenging. Especially, systems of intermediate spatial dimensions are still largely elusive to the established approaches. In this work we demonstrate that combining a time-dependent variational principle with deep neural networks as ansatz for the wave function yields a versatile and reliable method in the sense that it is not tailored to the specific problem and the error can be quantified and systematically reduced. A deep network architecture is particularly well suited to exploit the locality of physical dynamics for the representation of the time-evolved wave function. As a concrete example, we simulate the dynamics of the paradigmatic and experimentally relevant two-dimensional transverse field Ising model. The maximal times reached are comparable to or exceed the capabilities of state-of-the-art tensor network methods.

CQD Colloquia
7 Nov 2019, 14:30
Kirchhoff-Institut für Physik, INF 227, Seminar box 2.107

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