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Statistical mechanics model for Clifford random tensor networks and monitored quantum circuits

Yaodong Li, Romain Vasseur, Matthew P. A. Fisher, Andreas W. W. Ludwig

2024Physical review. B./Physical review. B30 citationsDOI

Abstract

The authors explore critical properties of entanglement phase transitions in random tensor networks and monitored quantum circuits with Clifford tensors/gates for on-site Hilbert space dimensions which are powers of a prime number $p$. Exact mappings to replica spin models and characterizations of their symmetry groups predict that all universal properties will depend only on $p$. These predictions are confirmed with extensive numerical simulations. The authors also establish multifractal scaling of the purity, reflected in a continuous spectrum of critical exponents, while the typical exponent is the prefactor of the logarithm in the entanglement entropy.

Topics & Concepts

Tensor (intrinsic definition)Statistical physicsQuantum statistical mechanicsStatistical mechanicsQuantum mechanicsMathematicsQuantumPhysicsPure mathematicsQuantum many-body systemsQuantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Statistical mechanics model for Clifford random tensor networks and monitored quantum circuits | Litcius