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

C. Cafaro and S.A. Ali

Physica A: Statistical Mechanics and its Applications, 2008, vol. 387, issue 27, 6876-6894

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.

Keywords: Inductive inference; Information geometry; Statistical manifolds; Entropy; Chaos; Entanglement (search for similar items in EconPapers)
Date: 2008
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:387:y:2008:i:27:p:6876-6894

DOI: 10.1016/j.physa.2008.09.010

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