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Transmon probe for quantum characteristics of magnons in antiferromagnets
Department of Applied Mathematics and Computer Science, Faculty of Mathematics and Statistics, University of Isfahan, Isfahan, Iran; Department of Physics and Astronomy, Uppsala University, Uppsala, Sweden.ORCID iD: 0000-0002-7838-0053
Department of Physics and Astronomy, Uppsala University, Uppsala, Sweden.
Department of Applied Physics, School of Engineering Sciences, KTH Royal Institute of Technology, AlbaNova University Center, Stockholm, Sweden; Swedish e-Science Research Center (SeRC), KTH Royal Institute of Technology, Stockholm, Sweden.
Department of Physics and Astronomy, Uppsala University, Uppsala, Sweden.
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2023 (English)In: Physical Review B, ISSN 2469-9950, E-ISSN 2469-9969, Vol. 108, no 9, article id 094430Article in journal (Refereed) Published
Abstract [en]

The detection of magnons and their quantum properties, especially in antiferromagnetic (AFM) materials, is a substantial step to realize many ambitious advances in the study of nanomagnetism and the development of energy efficient quantum technologies. The recent development of hybrid systems based on superconducting circuits provides the possibility to engineer quantum sensors that exploit different degrees of freedom. Here, we examine the magnon-photon-transmon hybridization based on bipartite AFM materials, which gives rise to an effective coupling between a transmon qubit and magnons in a bipartite AFM. We demonstrate how magnon modes, their chiralities, and quantum properties, such as nonlocality and two-mode magnon entanglement in bipartite AFMs, can be characterized through the Rabi frequency of the superconducting transmon qubit.

Place, publisher, year, edition, pages
American Physical Society , 2023. Vol. 108, no 9, article id 094430
National Category
Condensed Matter Physics
Identifiers
URN: urn:nbn:se:oru:diva-109413DOI: 10.1103/PhysRevB.108.094430ISI: 001080546200001Scopus ID: 2-s2.0-85172422970OAI: oai:DiVA.org:oru-109413DiVA, id: diva2:1807394
Funder
Knut and Alice Wallenberg Foundation, 2018.0060 2021.0246 2022.0108Swedish Research Council, 2016-05980 2019-05304 2019-03666 2017-03832Swedish Foundation for Strategic ResearchSwedish Energy AgencyeSSENCE - An eScience CollaborationStandUpLinköpings universitet
Note

The authors acknowledge financial support from the Knut and Alice (KAW) foundation through Grants No. 2018.0060 and No. 2021.0246. A.D. acknowledges financial support from the Swedish Research Council (VR) through Grants No.2016-05980 and No. 2019-05304 as well as the Knut and Alice (KAW) foundation through Grant No. 2022.0108. O.E .acknowledges support from the Swedish Research Council (VR), the Swedish Foundation for Strategic Research (SSF), the Swedish Energy Agency (Energimyndigheten), ERC (synergy grant FASTCORR, Project No. 854843), eSSENCE, and STandUPP. 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.

Available from: 2023-10-26 Created: 2023-10-26 Last updated: 2023-10-26Bibliographically approved

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Thonig, Danny

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