Scrambling and operator entanglement in local non-Hermitian quantum systems

• URL: http://arxiv.org/abs/2305.12054v3
• Date: Mon, 16 Oct 2023 22:55:04 GMT
• Title: Scrambling and operator entanglement in local non-Hermitian quantum systems
• Authors: Brian Barch, Namit Anand, Jeffrey Marshall, Eleanor Rieffel, Paolo Zanardi
• Abstract summary: We study information scrambling and quantum chaos in non-Hermitian variants of paradigmatic local quantum spin-chain models. We extend operator entanglement based diagnostics from previous works on closed and open quantum systems to the new arena of monitored quantum dynamics.
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• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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