Precision reconstruction of rational CFT from exact fixed point tensor network

Fuente: arXiv
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Autori principali: Cheng, Gong, Chen, Lin, Gu, Zheng-Cheng, Hung, Ling-Yan
Natura: Preprint
Pubblicazione: 2023
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author Cheng, Gong
Chen, Lin
Gu, Zheng-Cheng
Hung, Ling-Yan
author_facet Cheng, Gong
Chen, Lin
Gu, Zheng-Cheng
Hung, Ling-Yan
contents The novel concept of entanglement renormalization and its corresponding tensor network renormalization technique have been highly successful in developing a controlled real space renormalization group (RG) scheme. Numerically approximate fixed-point (FP) tensors are widely used to extract the conformal data of the underlying conformal field theory (CFT) describing critical phenomena. In this paper, we present an explicit analytical construction of the FP tensor for 2D rational CFT. We define it as a correlation function between the "boundary-changing operators" (BCO) on triangles. Our construction fully captures all the real-space RG conditions. We also provide concrete examples, such as Ising, Yang-Lee and Tri-critical Ising models to compute the scaling dimensions explicitly based on the corresponding FP tensor. The BCO descendants turn out to be an optimal basis such that truncation in bond dimensions naturally produces comparable accuracies with the leading existing FP algorithms. Interestingly, our construction of FP tensors is closely related to a strange correlator, where the holographic picture naturally emerges. Our results also open a new door towards understanding CFT in higher dimensions.
format Preprint
id arxiv_https___arxiv_org_abs_2311_18005
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Precision reconstruction of rational CFT from exact fixed point tensor network
Cheng, Gong
Chen, Lin
Gu, Zheng-Cheng
Hung, Ling-Yan
Strongly Correlated Electrons
Statistical Mechanics
High Energy Physics - Theory
The novel concept of entanglement renormalization and its corresponding tensor network renormalization technique have been highly successful in developing a controlled real space renormalization group (RG) scheme. Numerically approximate fixed-point (FP) tensors are widely used to extract the conformal data of the underlying conformal field theory (CFT) describing critical phenomena. In this paper, we present an explicit analytical construction of the FP tensor for 2D rational CFT. We define it as a correlation function between the "boundary-changing operators" (BCO) on triangles. Our construction fully captures all the real-space RG conditions. We also provide concrete examples, such as Ising, Yang-Lee and Tri-critical Ising models to compute the scaling dimensions explicitly based on the corresponding FP tensor. The BCO descendants turn out to be an optimal basis such that truncation in bond dimensions naturally produces comparable accuracies with the leading existing FP algorithms. Interestingly, our construction of FP tensors is closely related to a strange correlator, where the holographic picture naturally emerges. Our results also open a new door towards understanding CFT in higher dimensions.
title Precision reconstruction of rational CFT from exact fixed point tensor network
topic Strongly Correlated Electrons
Statistical Mechanics
High Energy Physics - Theory
url https://arxiv.org/abs/2311.18005