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The most general and versatile defining feature of quantum chaotic systems is that they possess an energy spectrum with correlations universally described by random matrix theory (RMT). This feature can be exhibited by systems with a well…

混沌动力学 · 物理学 2019-01-11 Bruno Bertini , Pavel Kos , Tomaz Prosen

We investigate universal signatures of quantum chaos in the presence of time reversal symmetry (TRS) in generic many body quantum chaotic systems (gMBQCs). We study three classes of minimal models of gMBQCs with TRS, realized through random…

统计力学 · 物理学 2025-07-16 Weijun Wu , Saumya Shivam , Amos Chan

We study spectral statistics in spatially extended chaotic quantum many-body systems, using simple lattice Floquet models without time-reversal symmetry. Computing the spectral form factor $K(t)$ analytically and numerically, we show that…

统计力学 · 物理学 2018-08-15 Amos Chan , Andrea De Luca , J. T. Chalker

A key goal of quantum chaos is to establish a relationship between widely observed universal spectral fluctuations of clean quantum systems and random matrix theory (RMT). For single particle systems with fully chaotic classical…

混沌动力学 · 物理学 2018-06-14 Pavel Kos , Marko Ljubotina , Tomaz Prosen

In quantum chaotic systems, the spectral form factor (SFF), defined as the Fourier transform of the two-level spectral correlation function, is known to follow random matrix theory (RMT), namely a 'ramp' followed by a 'plateau' in…

量子气体 · 物理学 2023-11-06 Ceren B. Dag , Simeon I. Mistakidis , Amos Chan , H. R. Sadeghpour

The emergence of random matrix spectral correlations in interacting quantum systems is a defining feature of quantum chaos. We study such correlations in terms of the spectral form factor and its moments in interacting chaotic few- and…

量子物理 · 物理学 2023-11-27 Felix Fritzsch , Maximilian F. I. Kieler

We numerically study the spectral statistics of open quantum many-body systems (OQMBS) as signatures of quantum chaos (or the lack thereof), using the dissipative spectral form factor (DSFF), a generalization of the spectral form factor to…

统计力学 · 物理学 2024-05-06 Jiachen Li , Stephen Yan , Tomaž Prosen , Amos Chan

The spectral form factor of random matrix theory plays a key role in the description of disordered and chaotic quantum systems. While its moments are known to be approximately Gaussian, corrections subleading in the matrix dimension, $D$,…

量子物理 · 物理学 2026-01-06 Alex Altland , Francisco Divi , Tobias Micklitz , Silvia Pappalardi , Maedeh Rezaei

We study the consequences of having translational invariance in space and in time in many-body quantum chaotic systems. We consider an ensemble of random quantum circuits, composed of single-site random unitaries and nearest neighbour…

统计力学 · 物理学 2022-12-07 Amos Chan , Saumya Shivam , David A. Huse , Andrea De Luca

The emergence of random matrix spectral correlations in interacting quantum systems is a defining feature of quantum chaos. We study such correlations in terms of the spectral form factor in interacting chaotic few- and many-body systems,…

量子物理 · 物理学 2023-06-14 Felix Fritzsch , Maximilian F. I. Kieler

We study spectral form factor in periodically-kicked bosonic chains. We consider a family of models where a Hamiltonian with the terms diagonal in the Fock space basis, including random chemical potentials and pair-wise interactions, is…

统计力学 · 物理学 2022-08-30 Dibyendu Roy , Divij Mishra , Tomaž Prosen

Random matrix theory (RMT) universality is the defining property of quantum mechanical chaotic systems, and can be probed by observables like the spectral form factor (SFF). In this paper, we describe systematic deviations from RMT…

统计力学 · 物理学 2025-01-15 Rahel L. Baumgartner , Luca V. Delacrétaz , Pranjal Nayak , Julian Sonner

We investigate spectral statistics in spatially extended, chaotic many-body quantum systems with a conserved charge. We compute the spectral form factor $K(t)$ analytically for a minimal Floquet circuit model that has a $U(1)$ symmetry…

统计力学 · 物理学 2019-12-06 Aaron J. Friedman , Amos Chan , Andrea De Luca , J. T. Chalker

We study quantum chaos and spectral correlations in periodically driven (Floquet) fermionic chains with long-range two-particle interactions, in the presence and absence of particle number conservation ($U(1)$) symmetry. We analytically…

统计力学 · 物理学 2021-01-04 Dibyendu Roy , Tomaž Prosen

The spectral form factor (SFF) is an important diagnostic of energy level repulsion in random matrix theory (RMT) and quantum chaos. The short-time behavior of the SFF as it approaches the RMT result acts as a diagnostic of the ergodicity…

混沌动力学 · 物理学 2023-08-01 Michael Winer , Brian Swingle

We study the onset of RMT dynamics in the mass-deformed SYK model (i.e. an SYK model deformed by a quadratic random interaction) in terms of the strength of the quadratic deformation. We use as chaos probes both the connected unfolded…

高能物理 - 理论 · 物理学 2018-09-26 Tomoki Nosaka , Dario Rosa , Junggi Yoon

The spectral fluctuations of a quantum Hamiltonian system with time-reversal symmetry are studied in the semiclassical limit by using periodic-orbit theory. It is found that, if long periodic orbits are hyperbolic and uniformly distributed…

混沌动力学 · 物理学 2009-11-10 Dominique Spehner

We show that non-Hermitian Ginibre random matrix behaviors emerge in spatially-extended many-body quantum chaotic systems in the space direction, just as Hermitian random matrix behaviors emerge in chaotic systems in the time direction.…

统计力学 · 物理学 2023-04-11 Saumya Shivam , Andrea De Luca , David A. Huse , Amos Chan

We study the time evolution operator in a family of local quantum circuits with random fields in a fixed direction. We argue that the presence of quantum chaos implies that at large times the time evolution operator becomes effectively a…

统计力学 · 物理学 2021-05-12 Pavel Kos , Bruno Bertini , Tomaž Prosen

The spectral form factor (SFF) is a powerful diagnostic of random matrix behavior in quantum many-body systems. We introduce a family of random circuit ensembles whose SFFs can be computed \textit{exactly}. These ensembles describe the…

统计力学 · 物理学 2025-04-24 Tatsuhiko N. Ikeda , Lev Vidmar , Michael O. Flynn
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