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Auteurs principaux: Ji, Kaixin, Chen, Lin, Yang, Li-Ping, Hung, Ling-Yan
Format: Preprint
Publié: 2024
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Accès en ligne:https://arxiv.org/abs/2412.08374
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author Ji, Kaixin
Chen, Lin
Yang, Li-Ping
Hung, Ling-Yan
author_facet Ji, Kaixin
Chen, Lin
Yang, Li-Ping
Hung, Ling-Yan
contents Following the construction in arXiv:2210.12127, we develop a symmetry-preserving renormalization group (RG) flow for 3D symmetric theories. These theories are expressed as boundary conditions of a symTFT, which in our case is a 3+1D Dijkgraaf-Witten topological theory in the bulk. The boundary is geometrically organized into tetrahedra and represented as a tensor network, which we refer to as the "simplex tensor network" state. Each simplex tensor is assigned indices corresponding to its vertices, edges, and faces. We propose a numerical algorithm to implement RG flows for these boundary conditions, and explicitly demonstrate its application to a $\mathbb{Z}_2$ symmetric theory. By linearly interpolating between three topological fixed-point boundaries, we map the phase transitions characterized by local and non-local order parameters, which respectively detects the breaking of a 0-form and a 2-form symmetry. This formalism is readily extendable to other discrete symmetry groups and, in principle, can be generalized to describe 3D symmetric topological orders.
format Preprint
id arxiv_https___arxiv_org_abs_2412_08374
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Simplex tensor network renormalization group for boundary theory of 3+1D symTFT
Ji, Kaixin
Chen, Lin
Yang, Li-Ping
Hung, Ling-Yan
Strongly Correlated Electrons
High Energy Physics - Theory
Following the construction in arXiv:2210.12127, we develop a symmetry-preserving renormalization group (RG) flow for 3D symmetric theories. These theories are expressed as boundary conditions of a symTFT, which in our case is a 3+1D Dijkgraaf-Witten topological theory in the bulk. The boundary is geometrically organized into tetrahedra and represented as a tensor network, which we refer to as the "simplex tensor network" state. Each simplex tensor is assigned indices corresponding to its vertices, edges, and faces. We propose a numerical algorithm to implement RG flows for these boundary conditions, and explicitly demonstrate its application to a $\mathbb{Z}_2$ symmetric theory. By linearly interpolating between three topological fixed-point boundaries, we map the phase transitions characterized by local and non-local order parameters, which respectively detects the breaking of a 0-form and a 2-form symmetry. This formalism is readily extendable to other discrete symmetry groups and, in principle, can be generalized to describe 3D symmetric topological orders.
title Simplex tensor network renormalization group for boundary theory of 3+1D symTFT
topic Strongly Correlated Electrons
High Energy Physics - Theory
url https://arxiv.org/abs/2412.08374