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Quantum graphs: Applications to quantum chaos and universal spectral statistics

机译:量子图:在量子混沌和通用光谱统计中的应用

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During the last few years quantum graphs have become a paradigm of quantum chaos with applications from spectral statistics to chaotic scattering and wavefunction statistics. In the first part of this review we give a detailed introduction to the spectral theory of quantum graphs and discuss exact trace formulae for the spectrum and the quantum-to-classical correspondence. The second part of this review is devoted to the spectral statistics of quantum graphs as an application to quantum chaos. In particular, we summarize recent developments on the spectral statistics of generic large quantum graphs based on two approaches: the periodic-orbit approach and the supersymmetry approach. The latter provides a condition and a proof for universal spectral statistics as predicted by random-matrix theory.
机译:在最近几年中,量子图已成为量子混沌的范例,其应用范围从光谱统计到混沌散射和波函数统计。在本综述的第一部分中,我们详细介绍了量子图的光谱理论,并讨论了光谱的精确跟踪公式以及量子与经典的对应关系。本文的第二部分专门介绍量子图的光谱统计,将其应用于量子混沌。特别是,我们基于两种方法:周期轨道方法和超对称方法,总结了通用大量子图光谱统计的最新进展。后者为由随机矩阵理论预测的通用频谱统计提供了条件和证明。

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