Eigenstate structure in many-body bosonic systems: Analysis using random matrices and $q$-Hermite polynomials
Abstract
We analyze the structure of eigenstates in many-body bosonic systems by modeling the Hamiltonian of these complex systems using Bosonic Embedded Gaussian Orthogonal Ensembles (BEGOE) defined by a mean-field plus -body random interactions. The quantities employed are the number of principal components (NPC), the localization length () and the entropy production . The numerical results are compared with the analytical formulas obtained using random matrices which are based on bivariate -Hermite polynomials for local density of states and the bivariate -Hermite polynomial form for bivariate eigenvalue density that are valid in the strong interaction domain. We also compare transport efficiency in many-body bosonic systems using BEGOE in absence and presence of centrosymmetry. It is seen that the centrosymmetry enhances quantum efficiency.
Cite
@article{arxiv.2111.08820,
title = {Eigenstate structure in many-body bosonic systems: Analysis using random matrices and $q$-Hermite polynomials},
author = {Priyanka Rao and Manan Vyas and N. D. Chavda},
journal= {arXiv preprint arXiv:2111.08820},
year = {2021}
}
Comments
13 pages, 8 figures, Report of work done in collaboration with N D Chavda and P Rao until July 2020, overlap with arXiv:2012.01610 and Materials Today: Proceedings 47, 520-525 (2021)