Edge of entanglement in non-ergodic states: a complexity parameter formulation

Fuente: arXiv
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Main Authors: Shekhar, Devanshu, Shukla, Pragya
Format: Preprint
Published: 2023
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author Shekhar, Devanshu
Shukla, Pragya
author_facet Shekhar, Devanshu
Shukla, Pragya
contents We analyze the subsystem size scaling of the entanglement entropy of a non-ergodic pure state that can be described by a multi-parametric Gaussian ensemble of complex matrices in a bipartite basis. Our analysis indicates, for a given set of global constraints, the existence of infinite number of universality classes of local complexity, characterized by the complexity parameter, for which the entanglement entropy reveals a universal scaling with subsystem size. A rescaling of the complexity parameter helps us to identify the critical regime for the entanglement entropy of a broad range of pure non-ergodic states.
format Preprint
id arxiv_https___arxiv_org_abs_2310_12796
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Edge of entanglement in non-ergodic states: a complexity parameter formulation
Shekhar, Devanshu
Shukla, Pragya
Quantum Physics
Disordered Systems and Neural Networks
We analyze the subsystem size scaling of the entanglement entropy of a non-ergodic pure state that can be described by a multi-parametric Gaussian ensemble of complex matrices in a bipartite basis. Our analysis indicates, for a given set of global constraints, the existence of infinite number of universality classes of local complexity, characterized by the complexity parameter, for which the entanglement entropy reveals a universal scaling with subsystem size. A rescaling of the complexity parameter helps us to identify the critical regime for the entanglement entropy of a broad range of pure non-ergodic states.
title Edge of entanglement in non-ergodic states: a complexity parameter formulation
topic Quantum Physics
Disordered Systems and Neural Networks
url https://arxiv.org/abs/2310.12796