Diagnosing chaos with projected ensembles of process tensors
Peter O'Donovan, Neil Dowling, Kavan Modi, and Mark T. Mitchison

TL;DR
This paper introduces the projected process ensemble to analyze quantum chaos, revealing entanglement structures that distinguish chaotic from integrable dynamics in many-body quantum systems.
Contribution
It develops a new ensemble-based approach to diagnose quantum chaos, capturing detailed entanglement features beyond existing chaos quantifiers.
Findings
Ensemble moments relate to known chaos measures like quantum dynamical entropy.
Higher moments reveal entanglement patterns that differentiate chaos from integrability.
Numerical simulations confirm the method's effectiveness across various spin-chain models.
Abstract
The process tensor provides a general representation of a quantum system evolving under repeated interventions and is fundamental for numerical simulations of local many-body dynamics. In this work, we introduce the projected process ensemble, an ensemble of pure output states of a process tensor in a given basis of local interventions, and use it to define increasingly more fine-grained probes of quantum chaos. The first moment of this ensemble encapsulates numerous previously studied chaos quantifiers, including the Alicki-Fannes quantum dynamical entropy, butterfly flutter fidelity, and spatiotemporal entanglement. We discover characteristic entanglement structures within the ensemble's higher moments that can sharply distinguish chaotic from integrable dynamics, overcoming deficiencies of the quantum dynamical and spatiotemporal entropies. These conclusions are supported by…
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Taxonomy
TopicsComputational Physics and Python Applications
