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Identification of a Kitaev quantum spin liquid by magnetic field angle dependence.
Hwang, Kyusung; Go, Ara; Seong, Ji Heon; Shibauchi, Takasada; Moon, Eun-Gook.
Affiliation
  • Hwang K; School of Physics, Korea Institute for Advanced Study (KIAS), Seoul, 02455, Korea.
  • Go A; Center for Theoretical Physics of Complex Systems, Institute for Basic Science (IBS), Daejeon, 34126, Korea.
  • Seong JH; Department of Physics, Chonnam National University, Gwangju, 61186, Korea.
  • Shibauchi T; Department of Physics, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Korea.
  • Moon EG; Department of Advanced Materials Science, University of Tokyo, Kashiwa, Chiba, 277-8561, Japan.
Nat Commun ; 13(1): 323, 2022 Jan 14.
Article in En | MEDLINE | ID: mdl-35031621
ABSTRACT
Quantum spin liquids realize massive entanglement and fractional quasiparticles from localized spins, proposed as an avenue for quantum science and technology. In particular, topological quantum computations are suggested in the non-abelian phase of Kitaev quantum spin liquid with Majorana fermions, and detection of Majorana fermions is one of the most outstanding problems in modern condensed matter physics. Here, we propose a concrete way to identify the non-abelian Kitaev quantum spin liquid by magnetic field angle dependence. Topologically protected critical lines exist on a plane of magnetic field angles, and their shapes are determined by microscopic spin interactions. A chirality operator plays a key role in demonstrating microscopic dependences of the critical lines. We also show that the chirality operator can be used to evaluate topological properties of the non-abelian Kitaev quantum spin liquid without relying on Majorana fermion descriptions. Experimental criteria for the non-abelian spin liquid state are provided for future experiments.

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: Nat Commun Journal subject: BIOLOGIA / CIENCIA Year: 2022 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: Nat Commun Journal subject: BIOLOGIA / CIENCIA Year: 2022 Document type: Article
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