Scrambling and operator entanglement in local non-Hermitian quantum systems

被引:2
|
作者
Barch B. [1 ]
Anand N. [2 ,3 ]
Marshall J. [2 ,4 ]
Rieffel E. [2 ]
Zanardi P. [1 ]
机构
[1] Department of Physics and Astronomy, Center for Quantum Information Science and Technology, University of Southern California, Los Angeles, 90089-0484, CA
[2] Quantum Artificial Intelligence Laboratory (QuAIL), NASA, Ames Research Center, Moffett Field, 94035, CA
[3] KBR Inc., 601 Jefferson St., Houston, 77002, TX
[4] USRA, Research Institute for Advanced Computer Science (RIACS), Mountain View, 94043, CA
基金
美国国家航空航天局; 美国国家科学基金会;
关键词
Compendex;
D O I
10.1103/PhysRevB.108.134305
中图分类号
学科分类号
摘要
The breakdown of Lieb-Robinson bounds in local, non-Hermitian quantum systems opens up the possibility for a rich landscape of quantum many-body phenomenology. We elucidate this by studying information scrambling and quantum chaos in non-Hermitian variants of paradigmatic local quantum spin-chain models. We utilize a mixture of exact diagonalization and tensor network techniques for our numerical results and focus on three dynamical quantities: (i) out-of-time-ordered correlators (OTOCs), (ii) operator entanglement of the dynamics, and (iii) entanglement growth following a quench from product initial states. We show that while OTOCs fail to capture information scrambling in a simple, local, non-Hermitian transverse-field Ising model, the closely related operator entanglement is a robust measure of dynamical properties of interest. Moreover, we show that the short-time growth of operator entanglement can generically detect entanglement phase transitions in these systems while its long-time average is shown to be a reliable indicator of quantum chaos and entanglement phases. This allows us to extend operator entanglement-based diagnostics from previous works on closed and open quantum systems, to the new arena of monitored quantum dynamics. Finally, we remark on the efficacy of these dynamical quantities in detecting integrability/chaos in the presence of continuous monitoring. © 2023 American Physical Society.
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