Keywords :
Chaotics; Hermitians; Local disorder; Localisation; Localised; Many body; Quantum chaos; Quantum spin chains; Singular values; Singular vectors; Electronic, Optical and Magnetic Materials; Condensed Matter Physics; Quantum Physics; Physics - Disordered Systems and Neural Networks; Physics - Statistical Mechanics; High Energy Physics - Theory
Abstract :
[en] Strong local disorder in interacting quantum spin chains can turn delocalized eigenmodes into localized eigenstates, giving rise to many-body localized phases. This is accompanied by distinct spectral statistics: chaotic for the delocalized phase and integrable for the localized phase. In isolated systems, localization and chaos are defined through a web of relations among eigenvalues, eigenvectors, and real-time dynamics. These may change as the system is made open. We ask whether random dissipation (without random disorder) can induce chaotic or localized behavior in an otherwise integrable system. The dissipation is described using non-Hermitian Hamiltonians, which can effectively be obtained from Markovian dynamics conditioned on null measurement. In this non-Hermitian setting, we argue in favor of the use of the singular value decomposition. We complement the singular value statistics with different diagnostic tools, namely, the singular form factor and the inverse participation ratio and entanglement entropy of singular vectors. We thus identify a crossover of the singular values from chaotic to integrable spectral features and of the singular vectors from delocalization to localization. Our method is illustrated in an XXZ Hamiltonian with random local dissipation.
Funding text :
Acknowledgments. We thank M. Ueda for useful discussions and O. A. Prośniak and P. Martínez-Azcona for careful reading of the manuscript. F.B. thanks C. Vanoni for illuminating discussions on localization indicators. This research was funded in part by the Luxembourg National Research Fund (FNR, Attract Grant No. 15382998), the John Templeton Foundation (Grant No. 62171), and the QuantERA II Programme, which received funding from the European Union's Horizon 2020 research and innovation program (Grant No. 16434093). The numerical simulations presented in this work were partly carried out using the HPC facilities of the University of Luxembourg.
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