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Eigenvalue Statistics as an Indicator of Integrability of Nonequilibrium Density Operators

机译:特征值统计作为非平衡密度算子可积性的指标

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We propose to quantify the complexity of nonequilibrium steady state density operators, as well as of long-lived Liouvillian decay modes, in terms of the level spacing distribution of their spectra. Based on extensive numerical studies in a variety of models, some solvable and some unsolved, we conjecture that the integrability of density operators (e.g., the existence of an algebraic procedure for their construction in finitely many steps) is signaled by a Poissonian level statistics, whereas in the generic nonintegrable cases one finds level statistics of a Gaussian unitary ensemble of random matrices. Eigenvalue statistics can therefore be used as an efficient tool to identify integrable quantum nonequilibrium systems.
机译:我们建议根据频谱的水平间距分布来量化非平衡稳态密度算符以及长寿命的Liouvillian衰减模式的复杂度。基于对各种模型的大量数值研究,有些模型可解决,有些尚未解决,我们推测密度算子的可积性(例如,存在有限个步骤的构造代数过程)通过泊松水平统计信号表示,而在一般不可积情况下,人们可以找到随机矩阵的高斯unit整体的水平统计量。特征值统计因此可以用作识别可积分量子非平衡系统的有效工具。

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