Singular-Value Statistics of Non-Hermitian Random Matrices and Open Quantum Systems

TL;DR

This paper studies the singular-value statistics of non-Hermitian random matrices to diagnose chaos in open quantum systems, revealing unique characteristics and establishing a classification across symmetry classes.

Contribution

It introduces a comprehensive classification of singular-value statistics for all non-Hermitian symmetry classes and connects these to chaos in open quantum systems.

Findings

Singular-value statistics differ from eigenvalue statistics in non-Hermitian matrices.

Analytical formulas for small matrix singular-value statistics are derived.

Singular values in open quantum many-body systems follow random-matrix statistics.

Abstract

The spectral statistics of non-Hermitian random matrices are of importance as a diagnostic tool for chaotic behavior in open quantum systems. Here, we investigate the statistical properties of singular values in non-Hermitian random matrices as an effective measure of quantifying dissipative quantum chaos. By means of Hermitization, we reveal the unique characteristics of the singular-value statistics that distinguish them from the complex-eigenvalue statistics, and establish the comprehensive classification of the singular-value statistics for all the 38-fold symmetry classes of non-Hermitian random matrices. We also analytically derive the singular-value statistics of small random matrices, which well describe those of large random matrices in the similar spirit to the Wigner surmise. Furthermore, we demonstrate that singular values of open quantum many-body systems follow the random-matrix statistics, thereby identifying chaos and nonintegrability in open quantum systems. Our work elucidates that the singular-value statistics serve as a clear indicator of symmetry and lay a foundation for statistical physics of open quantum systems.