Towards overcoming the Monte Carlo sign problem with tensor networks

  • The study of lattice gauge theories with Monte Carlo simulations is hindered by the infamous sign problem that appears under certain circumstances, in particular at non-zero chemical potential. So far, there is no universal method to overcome this problem. However, recent years brought a new class of non-perturbative Hamiltonian techniques named tensor networks, where the sign problem is absent. In previous work, we have demonstrated that this approach, in particular matrix product states in 1+1 dimensions, can be used to perform precise calculations in a lattice gauge theory, the massless and massive Schwinger model. We have computed the mass spectrum of this theory, its thermal properties and real-time dynamics. In this work, we review these results and we extend our calculations to the case of two flavours and non-zero chemical potential. We are able to reliably reproduce known analytical results for this model, thus demonstrating that tensor networks can tackle the sign problem of a lattice gauge theory at finite density

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Author:Mari Carmen Bañuls, Krzysztof CichyORCiDGND, Juan Ignacio Cirac, Karl Jansen, Stefan Kühn, Hana Saito
URN:urn:nbn:de:hebis:30:3-445961
DOI:https://doi.org/10.1051/epjconf/201713704001
ISSN:2100-014X
Parent Title (German):The European physical journal. Web of Conferences
Publisher:EDP Sciences
Place of publication:Les Ulis
Document Type:Article
Language:English
Year of Completion:2017
Date of first Publication:2017/03/22
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Contributing Corporation:XIIth Quark Confinement & the Hadron Spectrum
Release Date:2017/12/14
Volume:137
Issue:Art. 04001
Page Number:10
First Page:1
Last Page:10
Note:
© The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/).
HeBIS-PPN:432831045
Institutes:Physik / Physik
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 53 Physik / 530 Physik
Sammlungen:Universitätspublikationen
Licence (German):License LogoCreative Commons - Namensnennung 4.0