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

ORAL

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.

*This work is supported by funding from Hong Kong's Research Grants Council (GRF no.14301219) and Direct Grant no. 4053578 from The Chinese University of Hong Kong. LYH acknowledges the support of NSFC (Grant No. 11922502, 11875111). LC acknowledges the support of NSFC (Grant No. 12305080) and the start up funding of South China University of Technology. GC acknowledges the support from Commonwealth Cyber Initiative at Virginia Tech, U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research.

Publication: Preprint: arXiv:2311.18005

Presenters

  • Gong Cheng

    • Virginia Tech

Authors

  • Gong Cheng

    • Virginia Tech
  • Lin Chen

    • South China University of Technology
  • Zheng-Cheng Gu

    • Chinese University of Hong Kong
    • The Chinese University of Hong Kong
  • Ling-Yan Hung

    • Tsinghua University