Chaos and random matrices in supersymmetric SYK
Nicholas Hunter-Jones, Junyu Liu
TL;DR
<3-5 sentence high-level summary>This paper investigates chaos and randomness in supersymmetric quantum systems by mapping the supersymmetric SYK model to the Wishart-Laguerre unitary ensemble (LUE) and computing spectral form factors, frame potentials, and correlation functions. The authors find that, unlike the non-supersymmetric case, the LUE exhibits no dip regime and a slower approach to Haar randomness, signaling a delayed onset of random-matrix behavior. Finite-temperature and higher-point form factors, together with frame-potential analyses, show that LUE is less efficient at scrambling and does not form a true k-design, consistent with 1-loop predictions from the super-Schwarzian theory. The results clarify how supersymmetry modifies late-time chaos and information spreading, with implications for holographic interpretations of SUSY chaotic systems.
Abstract
We use random matrix theory to explore late-time chaos in supersymmetric quantum mechanical systems. Motivated by the recent study of supersymmetric SYK models and their random matrix classification, we consider the Wishart-Laguerre unitary ensemble and compute the spectral form factors and frame potentials to quantify chaos and randomness. Compared to the Gaussian ensembles, we observe the absence of a dip regime in the form factor and a slower approach to Haar-random dynamics. We find agreement between our random matrix analysis and predictions from the supersymmetric SYK model, and discuss the implications for supersymmetric chaotic systems.
