Universität zu Köln

Reh, Moritz ORCID: 0000-0002-8408-7558, Schmitt, Markus ORCID: 0000-0003-2223-8696 and Gaerttner, Martin (2021). Time-Dependent Variational Principle for Open Quantum Systems with Artificial Neural Networks. Phys. Rev. Lett., 127 (23). COLLEGE PK: AMER PHYSICAL SOC. ISSN 1079-7114

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Abstract

We develop a variational approach to simulating the dynamics of open quantum many-body systems using deep autoregressive neural networks. The parameters of a compressed representation of a mixed quantum state are adapted dynamically according to the Lindblad master equation by employing a timedependent variational principle. We illustrate our approach by solving the dissipative quantum Heisenberg model in one dimension for up to 40 spins and in two dimensions for a 4 x 4 system and by applying it to the simulation of confinement dynamics in the presence of dissipation.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Reh, Moritz UNSPECIFIED orcid.org/0000-0002-8408-7558 UNSPECIFIED Schmitt, Markus UNSPECIFIED orcid.org/0000-0003-2223-8696 UNSPECIFIED Gaerttner, Martin UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-573674
DOI:	10.1103/PhysRevLett.127.230501
Journal or Publication Title:	Phys. Rev. Lett.
Volume:	127
Number:	23
Date:	2021
Publisher:	AMER PHYSICAL SOC
Place of Publication:	COLLEGE PK
ISSN:	1079-7114
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language WAVE-FUNCTION METHOD; UNIVERSAL DYNAMICS; TENSOR NETWORKS; SIMULATION; PHYSICS; STATES; ORDER Multiple languages Physics, Multidisciplinary Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/57367