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The European Physical Journal B

Entanglement spectrum statistics of a time reversal invariant spin chain system: insights from random matrix theory

Ayana Sarkar, Santosh Kumar

Published Aug 1, 2023• 5 citations
Publisher
DOI
10.1140/epjb/s10051-023-00583-2

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Random matrix theory (RMT) and semi-classical methods are both used to study the spectra of chaotic quantum systems. The former is usually applied to small distances within the spectrum residing on scales of the mean level spacing where the phenomenon of universality emerges. Through the quantum-classical correspondence provided by semi-classics this regime is, conversely, described by long time dynamical properties of the classical system. In the first half of this thesis we explore such a connection for the study of spectral properties of quantum graphs with dynamically broken time reversal invariance. In physical systems this invariance is often not fully broken and to emulate this we include a rank-1 perturbation on the quantum level resulting in a RMT model outside of the usual universality classes. As we further show, the outcome can depend on graph specific properties and the rank of the perturbation. For the second half of the thesis we consider an opposite limit: instead of long times we study short times, on which universality can not be expected, in a chain-like spin system. In these systems the number of spins takes on a similar role as time, therefore the short time behavior in long chains has remarkable similarities to long time dynamics in few-body system. For instance, the formulation of an evolution operator in spatial direction is possible. Exploring this spatial-time duality we address long range spectral statistic in many-body systems and, for the first time, resolve periodic orbits in a genuine many-body system from the traces of its quantum evolution.
We study the spectral properties of and spectral crossovers between different random matrix ensembles [Poissonian, Gaussian orthogonal ensemble (GOE), Gaussian unitary ensemble (GUE)] in correlated spin-chain systems, in the presence of random magnetic fields, and the scalar spin-chirality term, competing with the usual isotropic and time-reversal invariant Heisenberg term. We have investigated these crossovers in the context of the level-spacing distribution and the level-spacing ratio distribution. We use random matrix theory (RMT) analytical results to fit the observed Poissonian-to-GOE and GOE-to-GUE crossovers, and examine the relationship between the RMT crossover parameter $\ensuremath{\lambda}$ and scaled physical parameters of the spin-chain systems in terms of a scaling exponent. We find that the crossover behavior exhibits universality, in the sense that, it becomes independent of lattice size in the large Hamiltonian matrix dimension limit. Moreover, the scaling exponent obtained from such a finite size scaling analysis, seems to be quite robust and independent of the type of crossover considered or the specific spectral correlation measure used.