Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/103205
Title: Hierarchy of magnon mode entanglement in antiferromagnets
Authors: Azimi, Mousolou, V.
Bagrov, A.
Bergman, A.
Delin, A.
Eriksson, O.
Liu, Y.
Pereiro, M.
Thonig, D.
Sjoqvist, E.
Issue Date: 2020
Publisher: American Physical Society
Citation: Hierarchy of magnon mode entanglement in antiferromagnets / V. Azimi Mousolou, A. Bagrov, A. Bergman, et al. — DOI 10.1103/PhysRevB.102.224418 // Physical Review B. — 2020. — Vol. 102. — Iss. 22. — 224418.
Abstract: Continuous variable entanglement between magnon modes in Heisenberg antiferromagnets with Dzyaloshinskii-Moriya (DM) interaction is examined. Different bosonic modes are identified, which allows us to establish a hierarchy of magnon entanglement. We argue that entanglement between magnon modes is determined by a simple lattice-specific parameter, together with the ratio of the strengths of the DM and Heisenberg exchange interactions, and that magnon entanglement can be detected by means of quantum homodyne techniques. As an illustration of the relevance of our findings for possible entanglement experiments in the solid state, a typical antiferromagnet with the perovskite crystal structure is considered, and it is shown that long wave length magnon modes have a maximal degree of entanglement. © 2020 authors.
Keywords: ANTIFERROMAGNETIC MATERIALS
CRYSTAL STRUCTURE
PEROVSKITE
ANTIFERROMAGNETS
CONTINUOUS VARIABLES
DZYALOSHINSKII-MORIYA
HEISENBERG ANTIFERROMAGNETS
HEISENBERG EXCHANGE INTERACTION
HOMODYNE TECHNIQUE
MAXIMAL DEGREE
PEROVSKITE CRYSTAL STRUCTURE
QUANTUM ENTANGLEMENT
URI: http://hdl.handle.net/10995/103205
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85098173495
PURE ID: 20381808
7036d4cf-9efc-4dd2-9b7f-4325efdc4fc0
ISSN: 24699950
DOI: 10.1103/PhysRevB.102.224418
metadata.dc.description.sponsorship: The authors acknowledge financial support from Knut and Alice Wallenberg Foundation through Grant No. 2018.0060. V.A.M. acknowledges support from IPM through Grant No. 98810042. A.B. acknowledges financial support from the Russian Science Foundation through Grant No. 18-12-00185. A.D. acknowledges financial support from the Swedish Research Council (VR) through Grants No. 2015-04608, No. 2016-05980, and No. 2019-05304. O.E. acknowledges support from eSSENCE, SNIC and the Swedish Research Council (VR). D.T. acknowledges support from the Swedish Research Council (VR) through Grant No. 2019-03666. E.S. acknowledges financial support from the Swedish Research Council (VR) through Grant No. 2017-03832. Some of the computations were performed on resources provided by the Swedish National Infrastructure for Computing (SNIC) at the National Supercomputer Center (NSC), Linköping University, the PDC Centre for High Performance Computing (PDC-HPC), KTH, and the High Performance Computing Center North (HPC2N), Umeå University.
RSCF project card: 18-12-00185
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

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