Can chaotic quantum energy levels statistics be characterized using information geometry and inference methods?

TL;DR

This paper introduces an information-geometric approach to characterize quantum chaos through the growth of an entropy measure, providing an alternative to traditional methods for analyzing chaotic quantum systems.

Contribution

It develops the information geometrodynamical approach to chaos (IGAC) and demonstrates its effectiveness in distinguishing integrable and chaotic quantum antiferromagnetic Ising chains.

Findings

IGE exhibits logarithmic growth in integrable systems

IGE exhibits linear growth in chaotic systems

IGAC offers a new perspective for studying quantum chaos

Abstract

In this paper, we review our novel information geometrodynamical approach to chaos (IGAC) on curved statistical manifolds and we emphasize the usefulness of our information-geometrodynamical entropy (IGE) as an indicator of chaoticity in a simple application. Furthermore, knowing that integrable and chaotic quantum antiferromagnetic Ising chains are characterized by asymptotic logarithmic and linear growths of their operator space entanglement entropies, respectively, we apply our IGAC to present an alternative characterization of such systems. Remarkably, we show that in the former case the IGE exhibits asymptotic logarithmic growth while in the latter case the IGE exhibits asymptotic linear growth. At this stage of its development, IGAC remains an ambitious unifying information-geometric theoretical construct for the study of chaotic dynamics with several unsolved problems. However, based on our recent findings, we believe it could provide an interesting, innovative and potentially powerful way to study and understand the very important and challenging problems of classical and quantum chaos.