Entanglement phase transitions in random stabilizer tensor networks
Zhi-Cheng Yang, Yaodong Li, Matthew P. A. Fisher, Xiao Chen
Abstract
The authors explore a class of random tensor network models with stabilizer local tensors and study the entanglement phase transitions in these models. They find that an entanglement phase transition can be induced by randomly breaking bulk tensor legs and they extract a set of universal data characterizing the conformal invariance at the critical points. The results clearly demonstrate regimes where a geometric bond percolation picture does or does not apply at the transitions. This work may open new connections to holographic quantum error correcting codes, built from tensor networks.
Topics & Concepts
Quantum entanglementTensor (intrinsic definition)Phase transitionStatistical physicsTheoretical physicsPhysicsMathematicsQuantumQuantum mechanicsPure mathematicsQuantum many-body systemsBlack Holes and Theoretical PhysicsQuantum Computing Algorithms and Architecture