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Quantum local random networks and the statistical robustness of quantum scars

Authors :
Federica Maria Surace, Marcello Dalmonte, Alessandro Silva
Source :
SciPost Physics, Vol 14, Iss 6, p 174 (2023)
Publication Year :
2023
Publisher :
SciPost, 2023.

Abstract

We investigate the emergence of quantum scars in a general ensemble of random Hamiltonians (of which the PXP is a particular realization), that we refer to as quantum local random networks. We find a class of scars, that we call "statistical", and we identify specific signatures of the localized nature of these eigenstates by analyzing a combination of indicators of quantum ergodicity and properties related to the network structure of the model. Within this parallelism, we associate the emergence of statistical scars to the presence of "motifs" in the network, that reflects how these are associated to links with anomalously small connectivity. Most remarkably, statistical scars appear at well-defined values of energy, predicted solely on the base of network theory. We study the scaling of the number of statistical scars with system size: by continuously changing the connectivity of the system we find that there is a transition from a regime where the constraints are too weak for scars to exist for large systems to a regime where constraints are stronger and the number of statistical scars increases with system size. This allows to define the concept of "statistical robustness" of quantum scars.

Subjects

Subjects :
Physics
QC1-999

Details

Language :
English
ISSN :
25424653
Volume :
14
Issue :
6
Database :
Directory of Open Access Journals
Journal :
SciPost Physics
Publication Type :
Academic Journal
Accession number :
edsdoj.fcf9105909bf4213a14c9986b52eead8
Document Type :
article
Full Text :
https://doi.org/10.21468/SciPostPhys.14.6.174