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Thermal bosons in 3d optical lattices via tensor networks

Ultracold atoms in optical lattices are one of the most promising experimental setups to simulate strongly correlated systems. However, efficient numerical algorithms able to benchmark experiments at low-temperatures in interesting 3d lattices are lacking. To this aim, here we introduce an efficient...

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Detalles Bibliográficos
Autores principales: Jahromi, Saeed S., Orús, Román
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7642398/
https://www.ncbi.nlm.nih.gov/pubmed/33149156
http://dx.doi.org/10.1038/s41598-020-75548-x
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author Jahromi, Saeed S.
Orús, Román
author_facet Jahromi, Saeed S.
Orús, Román
author_sort Jahromi, Saeed S.
collection PubMed
description Ultracold atoms in optical lattices are one of the most promising experimental setups to simulate strongly correlated systems. However, efficient numerical algorithms able to benchmark experiments at low-temperatures in interesting 3d lattices are lacking. To this aim, here we introduce an efficient tensor network algorithm to accurately simulate thermal states of local Hamiltonians in any infinite lattice, and in any dimension. We apply the method to simulate thermal bosons in optical lattices. In particular, we study the physics of the (soft-core and hard-core) Bose–Hubbard model on the infinite pyrochlore and cubic lattices with unprecedented accuracy. Our technique is therefore an ideal tool to benchmark realistic and interesting optical-lattice experiments.
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spelling pubmed-76423982020-11-06 Thermal bosons in 3d optical lattices via tensor networks Jahromi, Saeed S. Orús, Román Sci Rep Article Ultracold atoms in optical lattices are one of the most promising experimental setups to simulate strongly correlated systems. However, efficient numerical algorithms able to benchmark experiments at low-temperatures in interesting 3d lattices are lacking. To this aim, here we introduce an efficient tensor network algorithm to accurately simulate thermal states of local Hamiltonians in any infinite lattice, and in any dimension. We apply the method to simulate thermal bosons in optical lattices. In particular, we study the physics of the (soft-core and hard-core) Bose–Hubbard model on the infinite pyrochlore and cubic lattices with unprecedented accuracy. Our technique is therefore an ideal tool to benchmark realistic and interesting optical-lattice experiments. Nature Publishing Group UK 2020-11-04 /pmc/articles/PMC7642398/ /pubmed/33149156 http://dx.doi.org/10.1038/s41598-020-75548-x Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Jahromi, Saeed S.
Orús, Román
Thermal bosons in 3d optical lattices via tensor networks
title Thermal bosons in 3d optical lattices via tensor networks
title_full Thermal bosons in 3d optical lattices via tensor networks
title_fullStr Thermal bosons in 3d optical lattices via tensor networks
title_full_unstemmed Thermal bosons in 3d optical lattices via tensor networks
title_short Thermal bosons in 3d optical lattices via tensor networks
title_sort thermal bosons in 3d optical lattices via tensor networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7642398/
https://www.ncbi.nlm.nih.gov/pubmed/33149156
http://dx.doi.org/10.1038/s41598-020-75548-x
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