JOURNAL ARTICLE
Quantum phases of two-component bosons in a non-Hermitian optical lattice system.
Published In: International Journal of Modern Physics B: Condensed Matter Physics; Statistical Physics; Applied Physics, 2024, v. 38, n. 25. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Zhang, Xiao-ru; Yang, Shi-Jie 3 of 3
Abstract
In this paper, we investigate the quantum phases of two-component bosons in a non-Hermitian optical lattice system featuring a nonreciprocal hopping phase factor. Our analysis focuses on the Bose–Hubbard model in a two-dimensional (2D) square lattice, utilizing the inhomogeneous dynamical Gutzwiller mean-field theory (DGMFT) to examine the ground state. The impact on quantum phases of the inter component interaction varies in the weak-interaction (the inter-component interactions are smaller than intra-component interactions, i.e., | U a b | ≤ U) and in the strong-interaction (the inter-component interactions are bigger than intra-component interactions, i.e., U a b > U) regime. In the weak regime, we observe a diverse range of quantum phases, including vortex-like liquid, MI islands (the Mott insulator (MI) islands periodically distributed in the superfluid (SF) background) and SF islands (the SF islands periodically distributed in the MI background), and the inter-component counterflow superfluid (CFSF) phases. In the strong regime, we observe phase separation of the two-component bosons. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal of Modern Physics B: Condensed Matter Physics; Statistical Physics; Applied Physics. 2024/10, Vol. 38, Issue 25, p1
- Document Type:Article
- Subject Area:Science
- Publication Date:2024
- ISSN:0217-9792
- DOI:10.1142/S0217979224503430
- Accession Number:178469817
- Copyright Statement:Copyright of International Journal of Modern Physics B: Condensed Matter Physics; Statistical Physics; Applied Physics is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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