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Simulation of open quantum systems by automated compression of arbitrary environments

Title data

Cygorek, Moritz ; Cosacchi, Michael ; Vagov, Alexei ; Axt, Vollrath Martin ; Lovett, Brendon W. ; Keeling, Jonathan ; Gauger, Erik M.:
Simulation of open quantum systems by automated compression of arbitrary environments.
In: Nature Physics. Vol. 18 (2022) . - pp. 662-668.
ISSN 1745-2473
DOI: https://doi.org/10.1038/s41567-022-01544-9

Official URL: Volltext

Project information

Project financing: Deutsche Forschungsgemeinschaft
Russian Science Foundation, Project 18-12-00429 and Basic Research Program at the HSE University. EPSRC grant no. EP/T01377X/1 and EPSRC grant no. EP/T014032/1.

Abstract in another language

Studies of the dynamics of open quantum systems are limited by the large Hilbert space of typical environments, which is too large to be treated exactly. In some cases, approximate descriptions of the system are possible, for example, when the environment has a short memory time or only interacts weakly with the system. Accurate numerical methods exist, but these are typically restricted to baths with Gaussian correlations, such as non-interacting bosons. Here we present a method for simulating open quantum systems with arbitrary environments that consist of a set of independent degrees of freedom. Our approach automatically reduces the large number of environmental degrees of freedom to those which are most relevant. Specifically, we show how the process tensor describing the effect of the environment can be iteratively constructed and compressed using matrix product state techniques. We demonstrate the power of this method by applying it to a range of open quantum systems, including bosonic, fermionic and spin environments. The versatility and efficiency of our automated compression of environments method provides a practical general-purpose tool for open quantum systems.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: open quantum systems; path integral methods; numerical exact algorithm; matrix product technique; process tensor calculation; general simulation method
Subject classification: condensed matter physics (theoretical)
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Physics
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Physics > Chair Theoretical Physics III > Chair Theoretical Physics III - Univ.-Prof. Dr. Martin Axt
Result of work at the UBT: Yes
DDC Subjects: 500 Science > 530 Physics
Date Deposited: 12 Aug 2022 05:51
Last Modified: 12 Aug 2022 05:51
URI: https://eref.uni-bayreuth.de/id/eprint/71450