Quantum Chaos in Random Ising Networks

Fuente: arXiv
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Autores principales: Grabarits, András, Swain, Kasturi Ranjan, Heydari, Mahsa Seyed, Chandarana, Pranav, Gómez-Ruiz, Fernando J., del Campo, Adolfo
Formato: Preprint
Publicado: 2024
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author Grabarits, András
Swain, Kasturi Ranjan
Heydari, Mahsa Seyed
Chandarana, Pranav
Gómez-Ruiz, Fernando J.
del Campo, Adolfo
author_facet Grabarits, András
Swain, Kasturi Ranjan
Heydari, Mahsa Seyed
Chandarana, Pranav
Gómez-Ruiz, Fernando J.
del Campo, Adolfo
contents We report a systematic investigation of universal quantum chaotic signatures in the transverse field Ising model on an Erdős-Rényi network. This is achieved by studying local spectral measures such as the level spacing and the level velocity statistics. A spectral form factor analysis is also performed as a global measure, probing energy level correlations at arbitrary spectral distances. Our findings show that these measures capture the breakdown of chaotic behavior upon varying the connectivity and strength of the transverse field in various regimes. We demonstrate that the level spacing statistics and the spectral form factor signal this breakdown for sparsely and densely connected networks. The velocity statistics capture the surviving chaotic signatures in the sparse limit. However, these integrable-like regimes extend over a vanishingly small segment in the full range of connectivity.
format Preprint
id arxiv_https___arxiv_org_abs_2405_14376
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Quantum Chaos in Random Ising Networks
Grabarits, András
Swain, Kasturi Ranjan
Heydari, Mahsa Seyed
Chandarana, Pranav
Gómez-Ruiz, Fernando J.
del Campo, Adolfo
Disordered Systems and Neural Networks
Statistical Mechanics
Chaotic Dynamics
Quantum Physics
We report a systematic investigation of universal quantum chaotic signatures in the transverse field Ising model on an Erdős-Rényi network. This is achieved by studying local spectral measures such as the level spacing and the level velocity statistics. A spectral form factor analysis is also performed as a global measure, probing energy level correlations at arbitrary spectral distances. Our findings show that these measures capture the breakdown of chaotic behavior upon varying the connectivity and strength of the transverse field in various regimes. We demonstrate that the level spacing statistics and the spectral form factor signal this breakdown for sparsely and densely connected networks. The velocity statistics capture the surviving chaotic signatures in the sparse limit. However, these integrable-like regimes extend over a vanishingly small segment in the full range of connectivity.
title Quantum Chaos in Random Ising Networks
topic Disordered Systems and Neural Networks
Statistical Mechanics
Chaotic Dynamics
Quantum Physics
url https://arxiv.org/abs/2405.14376