Investigation of quantum chaos in local and non-local Ising models
Reza Pirmoradian, Elham Sadoogh, Maryam Teymouri, Negar Abolqasemi-Azad, Mohammad Reza Lahooti, Zahra Mohammad-Ali
TL;DR
This work addresses identifying chaotic versus integrable dynamics in quantum many-body spin chains, focusing on local and non-local Ising models under transverse and longitudinal fields. It combines spectral diagnostics (energy-level statistics via the level-spacing ratio $ar{r}$ and its GOE/Poisson benchmarks) with dynamical probes (Krylov complexity $C(t)$ computed through Lanczos Krylov space) to map the integrable-chaotic crossover. The key findings show that non-local all-to-all interactions strongly promote chaos, with GOE-like statistics emerging at relatively small couplings, and that chaotic dynamics are accompanied by a rapid growth and a pronounced peak in Krylov complexity, saturating at higher values than integrable regimes; these patterns correlate with $ar{r}$ across both local and non-local models. Overall, the study provides a robust, multifaceted framework for diagnosing quantum chaos in many-body systems and highlights non-locality as a powerful accelerator of scrambling and complexity.
Abstract
We investigate signatures of quantum chaos within Ising spin chains subjected to transverse and longitudinal fields, incorporating both local (nearest-neighbor) and non-local (long-range) couplings. While local Ising models may exhibit integrable or chaotic dynamics contingent on interaction strengths and field parameters, systems with non-local interactions generally display a stronger propensity toward chaos, even when the non-local couplings are weak. By examining the distribution of energy level spacings through the level spacing ratio, we delineate the transition from integrable to chaotic regimes and characterize the emergence of quantum chaos in these systems. Our analysis demonstrates that non-local couplings facilitate faster operator spreading and more intricate dynamical behavior, enabling these systems to approach maximal chaos more readily than their local counterparts. Additionally, we analyze Krylov complexity as a dynamical probe of chaos, observing a characteristic peak followed by a plateau at late times in chaotic regimes. This behavior provides a quantitative means to distinguish between integrable and chaotic phases, with the growth rate and saturation level of the complexity serving as effective indicators. Our findings underscore the role of non-local interactions in accelerating the onset of chaos and modifying dynamical complexity in quantum spin chains.
