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Exact fixed-point tensor network construction for rational conformal field theory

Authors :
Cheng, Gong
Chen, Lin
Gu, Zheng-Cheng
Hung, Ling-Yan
Publication Year :
2023

Abstract

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" on triangles. Our construction fully captures all the real-space RG conditions. We also provide a concrete example using the Ising model to compute the scaling dimensions explicitly based on the corresponding FP tensor. 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.<br />Comment: 12 pages, 13 figures, 4 tables; typos corrected, references added, more data included in Appendix

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2311.18005
Document Type :
Working Paper