Research Article

Monte Carlo simulation of distance dependent quantum entanglement in mixed XXZ Heisenberg spin-1/2 chains

Volume: 2 Number: 2 September 27, 2024
EN

Monte Carlo simulation of distance dependent quantum entanglement in mixed XXZ Heisenberg spin-1/2 chains

Abstract

The quantum entanglement of mixed XXZ Heisenberg spin-1/2 chain is examined. We quantify localizable entanglement (LE) in terms of upper/lower bounds through Quantum Monte Carlo simulations. Loop algorithm is chosen to numerically calculate thermodynamic quantities including spin-spin correlations. The exchange coupling, Zeeman energy, and dipolar interaction are literally taken into account. Findings summarize that the strength of dipole-dipole interaction (D) and external magnetic field (Bz) are notable in entanglement formation driving creation and extinction of entanglement. The creation and extinction of entanglement depend on D and Bz. Furthermore, strong fields at the critical temperatures lead a non-monotonic/monotonic behavior introducing revival phenomena. Nevertheless, strong D provides the distance-dependent stability of LE values, preserving unity.

Keywords

Supporting Institution

Scientific Research Projects Commission of Marmara University

Project Number

FEN-C-DRP-120613-0273

Thanks

Authors thank Scientific Research Projects Commission of Marmara University due to its valuable support with a project number of FEN-C-DRP-120613-0273.

References

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Details

Primary Language

English

Subjects

Applied Mathematics (Other)

Journal Section

Research Article

Publication Date

September 27, 2024

Submission Date

April 30, 2024

Acceptance Date

August 12, 2024

Published in Issue

Year 1970 Volume: 2 Number: 2

IEEE
[1]İ. P. Duru and Ş. Aktaş, “Monte Carlo simulation of distance dependent quantum entanglement in mixed XXZ Heisenberg spin-1/2 chains”, IJONFEST, vol. 2, no. 2, pp. 131–151, Sept. 2024, doi: 10.61150/ijonfest.2024020206.

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International Journal of New Findings in Engineering, Science and Technology (IJONFEST) is published under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license allows unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.