Chiral edge states emerging on anyon-net

We propose a symmetry-based approach to constructing lattice models for chiral topological phases, focusing on non-Abelian anyons. Using a 2+1D version of anyon chains and modular tensor categories (MTCs), we ensure exact MTC symmetry at the microscopic level. Numerical simulations using tensor networks demonstrate chiral edge modes for topological phases with Ising and Fibonacci anyons. Our method contrasts with conventional solvability approaches, providing a new theoretical avenue to explore strongly coupled 2+1D systems, revealing chiral edge states in non-Abelian anyonic systems.

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Publication Details

Journal
SciPost Physics Core
Published
2025-09-30
DOI
https://doi.org/10.21468/scipostphyscore.8.3.062
Citations
1
Primary Topic
Quantum many-body systems
Type
article
Field-Weighted Citation Impact
1.25
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article

Chiral edge states emerging on anyon-net

Kansei Inamura, Kantaro Ohmori, Atsushi Ueda
1 citations
SciPost Physics Core
Quantum many-body systems
1.25
article

Chiral edge states emerging on anyon-net

Kansei Inamura, Kantaro Ohmori, Atsushi Ueda
article en
1 citations

Abstract

We propose a symmetry-based approach to constructing lattice models for chiral topological phases, focusing on non-Abelian anyons. Using a 2+1D version of anyon chains and modular tensor categories (MTCs), we ensure exact MTC symmetry at the microscopic level. Numerical simulations using tensor networks demonstrate chiral edge modes for topological phases with Ising and Fibonacci anyons. Our method contrasts with conventional solvability approaches, providing a new theoretical avenue to explore strongly coupled 2+1D systems, revealing chiral edge states in non-Abelian anyonic systems.

SciPost Physics CoreVol. 8(3)
Ghent University Hospital (BE), Institute for Solid State Physics and Optics (HU), The University of Tokyo (JP)
Openalex Percentile: Top 17%
Quantum many-body systems
1.25
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Chiral edge states emerging on anyon-net — Kansei Inamura, Kantaro Ohmori, et al. · SciPost Physics Core (2025) | TGRS Research Map | TGRS