Entanglement phase transitions in random stabilizer tensor networks
Zhi-Cheng Yang, Yaodong Li, Matthew P. A. Fisher, and Xiao Chen

TL;DR
This paper investigates entanglement phase transitions in random stabilizer tensor networks, revealing different universality classes depending on the bond dimension and bond-breaking probability, with connections to conformal field theory and directed polymers.
Contribution
It introduces and numerically analyzes entanglement transitions in RSTNs, identifying universality classes and critical properties that depend on the prime bond dimension D.
Findings
Volume-law entanglement for D≥3, area-law for D=2
Critical measurement rate p_c induces phase transition
Large D approaches percolation conformal field theory
Abstract
We explore a class of random tensor network models with "stabilizer" local tensors which we name Random Stabilizer Tensor Networks (RSTNs). For RSTNs defined on a two-dimensional square lattice, we perform extensive numerical studies of entanglement phase transitions between volume-law and area-law entangled phases of the one-dimensional boundary states. These transitions occur when either (a) the bond dimension of the constituent tensors is varied, or (b) the tensor network is subject to random breaking of bulk bonds, implemented by forced measurements. In the absence of broken bonds, we find that the RSTN supports a volume-law entangled boundary state with bond dimension where is a prime number, and an area-law entangled boundary state for . Upon breaking bonds at random in the bulk with probability , there exists a critical measurement rate for each…
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