Beyond Nearest-neighbour Universality of Spectral Fluctuations in Quantum Chaotic and Complex Many-body Systems

Debojyoti Kundu, Santosh Kumar, Subhra Sen Gupta
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Abstract

Discerning chaos in quantum systems is an important problem as the usual route of Lyapunov exponents in classical systems is not straightforward in quantum systems. A standard route is the comparison of statistics derived from model physical systems to those from random matrix theory (RMT) ensembles, of which the most popular is the nearest-neighbour-spacings distribution (NNSD), which almost always shows good agreement with chaotic quantum systems. However, even in these cases, the long-range statistics (like number variance, spectral rigidity etc.), which are also more difficult to calculate, often show disagreements with RMT. As such, a more stringent test for chaos in quantum systems, via an analysis of intermediate-range statistics is needed, which will additionally assess the extent of agreement with RMT universality. In this paper, we deduce the effective level-repulsion parameters and the corresponding Wigner-surmise-like results of the next-nearest-neighbor spacing distribution (nNNSD) for integrable systems (semi-Poissonian statistics) as well as the three classical quantum-chaotic Wigner-Dyson regimes, by stringent comparisons to numerical RMT models and benchmarking against our exact analytical results for $3\times 3$ Gaussian matrix models, along with a semi-analytical form for the nNNSD in the Orthogonal-to-Unitary symmetry crossover. To illustrate the robustness of these RMT based results, we test these predictions against the nNNSD obtained from quantum chaotic models as well as disordered lattice spin models. This reinforces the Bohigas-Giannoni-Schmit and the Berry-Tabor conjectures, extending the associated universality to longer range statistics. In passing, we also highlight the equivalence of nNNSD in the apparently distinct Orthogonal-to-Unitary and diluted-Symplectic-to-Unitary crossovers.
超越量子混沌和复杂多体系统频谱波动的近邻普遍性
辨别量子系统中的混沌是一个重要问题,因为经典系统中的李亚普诺夫指数的通常路径在量子系统中并不直接。一个标准的途径是将从模型物理系统中得出的统计量与随机矩阵理论(RMT)集合中的统计量进行比较,其中最流行的是最近邻空间分布(NNSD),它几乎总是与混沌量子系统显示出良好的一致性。然而,即使在这些情况下,计算难度更大的长程统计量(如数方差、谱刚性等)也常常显示出与 RMT 的不一致。因此,需要通过分析中程统计量对量子系统中的混沌进行更严格的检验,这将额外评估与 RMT 普遍性的一致程度。在本文中,我们推导了可积分系统(半泊松统计)以及三种经典量子混沌维格纳-戴森(Wigner-Dyson)制度的有效水平斥力参数和相应的近邻间距分布(nNNNSD)的维格纳-混沌类结果、通过与数值 RMT 模型的严格比较,以及与我们对 3/3times 3$ 高斯矩阵模型的精确分析结果和正交到单元对称交叉中 nNNSD 的半分析形式的比较,我们得出了 nNNSD。为了说明这些基于 RMT 的结果的稳健性,我们用从量子混沌模型和无序晶格自旋模型中获得的 nNNSD 对这些预测进行了检验。这加强了博希格斯-贾诺尼-施密特和贝里-塔伯猜想,并将相关的普遍性扩展到了更远的统计范围。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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