Tensor-Entanglement-Filtering Renormalization Approach and Symmetry Protected Topological Order
Zheng-Cheng Gu, Xiao-Gang Wen

TL;DR
This paper introduces a tensor-entanglement-filtering renormalization method to analyze phases and phase transitions in statistical and quantum systems, revealing fixed-point structures and symmetry-protected topological phases.
Contribution
The paper develops a novel tensor network renormalization approach that characterizes phases using fixed-point tensors and symmetry groups, extending understanding of topological phases like the Haldane phase.
Findings
Identifies fixed-point tensor structures for various phases.
Shows Haldane phase is protected by specific symmetries.
Enables calculation of critical properties at phase transitions.
Abstract
We study the renormalization group flow of the Lagrangian for statistical and quantum systems by representing their path integral in terms of a tensor network. Using a tensor-entanglement-filtering renormalization (TEFR) approach that removes local entanglement and coarse grain the lattice, we show that the resulting renormalization flow of the tensors in the tensor network has a nice fixed-point structure. The isolated fixed-point tensors plus the symmetry group of the tensors (i.e. the symmetry group of the Lagrangian) characterize various phases of the system. Such a characterization can describe both the symmetry breaking phases and topological phases, as illustrated by 2D statistical Ising model, 2D statistical loop gas model, and 1+1D quantum spin-1/2 and spin-1 models. In particular, using such a characterization, we show that the Haldane…
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Taxonomy
TopicsQuantum many-body systems · Theoretical and Computational Physics · Complex Network Analysis Techniques
