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This review establishes Krylov state complexity as a key diagnostic tool for analyzing quantum chaos and information spreading across diverse many-body models like the SYK model and quantum spin chains. By connecting these dynamics to random-matrix universality and holographic descriptions in Einstein gravity, the paper offers essential insights into the spectral statistics governing chaotic quantum evolution. The inclusion of a Mathematica notebook further supports practical exploration of these theoretical frameworks for researchers in quantum physics.
Quantum Chaos and Spread of States in Krylov Subspace: A Topical Review
arXiv:2608.26825v1 Announce Type: cross Abstract: Krylov state complexity, or spread complexity, has emerged as a sharp and versatile diagnostic of quantum chaos, information spreading, and many-body dynamics. Built from the Lanczos algorithm and grounded in the optimal-basis theorem, Krylov complexity thereby provides a robust spectroscopic window into quantum dynamics. A central theme is the characteristic overshoot observed in chaotic systems: a complexity peak in which chaotic evolution drives the state deeper into the Krylov chain than in integrable systems before relaxing to equilibrium. This behavior, tied to random-matrix universality classes of spectral statistics, is illustrated across a broad range of models, including quantum billiards, quantum spin chains, and variants of the SYK model. We also discuss proposed holographic descriptions of Krylov complexity in Einstein gravity, and conclude by outlining future directions and open problems, including time-dependent systems and quantum-field-theoretic formulations. A Mathematica notebook is provided for numerical exploration of Krylov complexity and spectral statistics across models.
Abstract:Krylov state complexity, or spread complexity, has emerged as a sharp and versatile diagnostic of quantum chaos, information spreading, and many-body dynamics. Built from the Lanczos algorithm and grounded in the optimal-basis theorem, Krylov complexity thereby provides a robust spectroscopic window into quantum dynamics. A central theme is the characteristic overshoot observed in chaotic systems: a complexity peak in which chaotic evolution drives the state deeper into the Krylov chain than in integrable systems before relaxing to equilibrium. This behavior, tied to random-matrix universality classes of spectral statistics, is illustrated across a broad range of models, including quantum billiards, quantum spin chains, and variants of the SYK model. We also discuss proposed holographic descriptions of Krylov complexity in Einstein gravity, and conclude by outlining future directions and open problems, including time-dependent systems and quantum-field-theoretic formulations. A Mathematica notebook is provided for numerical exploration of Krylov complexity and spectral statistics across models.
High Energy Physics - Theory (hep-th); Chaotic Dynamics (nlin.CD); Quantum Physics (quant-ph)
arXiv:2608.26825 [hep-th]
(or arXiv:2608.26825v1 [hep-th] for this version)
https://doi.org/10.48550/arXiv.2608.26825 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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