Random tensor networks with nontrivial links

Fuente: arXiv
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Autori principali: Cheng, Newton, Lancien, Cécilia, Penington, Geoff, Walter, Michael, Witteveen, Freek
Natura: Preprint
Pubblicazione: 2022
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author Cheng, Newton
Lancien, Cécilia
Penington, Geoff
Walter, Michael
Witteveen, Freek
author_facet Cheng, Newton
Lancien, Cécilia
Penington, Geoff
Walter, Michael
Witteveen, Freek
contents Random tensor networks are a powerful toy model for understanding the entanglement structure of holographic quantum gravity. However, unlike holographic quantum gravity, their entanglement spectra are flat. It has therefore been argued that a better model consists of random tensor networks with link states that are not maximally entangled, i.e., have nontrivial spectra. In this work, we initiate a systematic study of the entanglement properties of these networks. We employ tools from free probability, random matrix theory, and one-shot quantum information theory to study random tensor networks with bounded and unbounded variation in link spectra, and in cases where a subsystem has one or multiple minimal cuts. If the link states have bounded spectral variation, the limiting entanglement spectrum of a subsystem with two minimal cuts can be expressed as a free product of the entanglement spectra of each cut, along with a Marchenko-Pastur distribution. For a class of states with unbounded spectral variation, analogous to semiclassical states in quantum gravity, we relate the limiting entanglement spectrum of a subsystem with two minimal cuts to the distribution of the minimal entanglement across the two cuts. In doing so, we draw connections to previous work on split transfer protocols, entanglement negativity in random tensor networks, and Euclidean path integrals in quantum gravity.
format Preprint
id arxiv_https___arxiv_org_abs_2206_10482
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Random tensor networks with nontrivial links
Cheng, Newton
Lancien, Cécilia
Penington, Geoff
Walter, Michael
Witteveen, Freek
Quantum Physics
High Energy Physics - Theory
Mathematical Physics
Probability
Random tensor networks are a powerful toy model for understanding the entanglement structure of holographic quantum gravity. However, unlike holographic quantum gravity, their entanglement spectra are flat. It has therefore been argued that a better model consists of random tensor networks with link states that are not maximally entangled, i.e., have nontrivial spectra. In this work, we initiate a systematic study of the entanglement properties of these networks. We employ tools from free probability, random matrix theory, and one-shot quantum information theory to study random tensor networks with bounded and unbounded variation in link spectra, and in cases where a subsystem has one or multiple minimal cuts. If the link states have bounded spectral variation, the limiting entanglement spectrum of a subsystem with two minimal cuts can be expressed as a free product of the entanglement spectra of each cut, along with a Marchenko-Pastur distribution. For a class of states with unbounded spectral variation, analogous to semiclassical states in quantum gravity, we relate the limiting entanglement spectrum of a subsystem with two minimal cuts to the distribution of the minimal entanglement across the two cuts. In doing so, we draw connections to previous work on split transfer protocols, entanglement negativity in random tensor networks, and Euclidean path integrals in quantum gravity.
title Random tensor networks with nontrivial links
topic Quantum Physics
High Energy Physics - Theory
Mathematical Physics
Probability
url https://arxiv.org/abs/2206.10482