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This research investigates the dynamical properties of highly excited quantum states at the critical boundary of ergodicity by analyzing intrinsic information compression within energy space. The study demonstrates that a vanishing fraction of Hamiltonian eigenlevels can accurately reproduce survival probability decay, revealing underlying fractal structures in both interacting and noninteracting systems. These findings advance fundamental understanding of complex quantum dynamics near phase transitions without immediate implications for commercial AI or quantum hardware applications.
Information Compression at Criticality
arXiv:2607.18388v1 Announce Type: cross Abstract: Highly excited quantum states at the critical boundary of ergodicity are known to deviate from thermal behavior, yet their dynamical properties remain poorly understood. Here, we uncover the complexity of quantum dynamics at criticality through the lens of intrinsic information compression in energy space. We show that the Hamiltonian spectrum can be systematically truncated, yielding a simplified description of the dynamics while preserving its essential features. Specifically, for both interacting and noninteracting systems, we demonstrate that a vanishing fraction of Hamiltonian eigenlevels suffices to reproduce the power-law decay of the survival probability. The resulting truncated spectrum exhibits a fractal structure characterized by a level-spacing distribution with a power-law tail, while its spectral form factor displays the same asymptotic power-law decay as the survival probability.
Abstract:Highly excited quantum states at the critical boundary of ergodicity are known to deviate from thermal behavior, yet their dynamical properties remain poorly understood. Here, we uncover the complexity of quantum dynamics at criticality through the lens of intrinsic information compression in energy space. We show that the Hamiltonian spectrum can be systematically truncated, yielding a simplified description of the dynamics while preserving its essential features. Specifically, for both interacting and noninteracting systems, we demonstrate that a vanishing fraction of Hamiltonian eigenlevels suffices to reproduce the power-law decay of the survival probability. The resulting truncated spectrum exhibits a fractal structure characterized by a level-spacing distribution with a power-law tail, while its spectral form factor displays the same asymptotic power-law decay as the survival probability.
Statistical Mechanics (cond-mat.stat-mech); Disordered Systems and Neural Networks (cond-mat.dis-nn); Quantum Physics (quant-ph)
arXiv:2607.18388 [cond-mat.stat-mech]
(or arXiv:2607.18388v1 [cond-mat.stat-mech] for this version)
https://doi.org/10.48550/arXiv.2607.18388 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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