Abstract

Fractional statistics is one of the most intriguing features of topological phases in 2D. In particular, the so-called non-Abelian statistics plays a crucial role towards realizing topological quantum computation. Recently, the study of topological phases has been extended to 3D and it has been proposed that loop-like extensive objects can also carry fractional statistics. In this work, we systematically study the so-called three-loop braiding statistics for 3D interacting fermion systems. Most surprisingly, we discover new types of non-Abelian three-loop braiding statistics that can only be realized in fermionic systems (or equivalently bosonic systems with emergent fermionic particles). On the other hand, due to the correspondence between gauge theories with fermionic particles and classifying fermionic symmetry-protected topological (FSPT) phases with unitary symmetries, our study also gives rise to an alternative way to classify FSPT phases. We further compare the classification results for FSPT phases with arbitrary Abelian unitary total symmetry Gf and find systematical agreement with previous studies.

Non-Abelian statistics plays a crucial role towards realizing topological quantum computation. Here, the authors discover new types of non-Abelian three-loop braiding statistics that can only be realized in 3D interacting fermionic systems.

Details

Title
Non-Abelian three-loop braiding statistics for 3D fermionic topological phases
Author
Jing-Ren, Zhou 1   VIAFID ORCID Logo  ; Wang Qing-Rui 1   VIAFID ORCID Logo  ; Wang, Chenjie 2   VIAFID ORCID Logo  ; Zheng-Cheng, Gu 1   VIAFID ORCID Logo 

 The Chinese University of Hong Kong, Department of Physics, Shatin, Hong Kong (GRID:grid.10784.3a) (ISNI:0000 0004 1937 0482) 
 The University of Hong Kong, Department of Physics and HKU-UCAS Joint Institute for Theoretical and Computational Physics, Hong Kong, China (GRID:grid.194645.b) (ISNI:0000000121742757) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2533050947
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.