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Information Gain, Operator Spreading, and Sensitivity to Perturbations as Quantifiers of Chaos in Quantum Systems

Published 15 Apr 2024 in quant-ph and nlin.CD | (2404.09464v1)

Abstract: We adopt a continuous weak measurement tomography protocol to explore the signatures of chaos in the quantum system(s). We generate the measurement record as a series of expectation values of an observable evolving under the desired dynamics, which can show a transition from integrability to chaos. We find that the rate of information gain depends on the degree of chaos in the dynamics, the choice of initial observable, and how well the operator is aligned along the density matrix. The amount of operator spreading in the Krylov subspace, as quantified by the fidelity in quantum tomography and various other metrics of information gain, increases with the degree of chaos in the system. We study operator spreading in many-body quantum systems by its potential to generate an informationally complete measurement record. Our quantifiers for operator spreading are more consistent indicators of quantum chaos than Krylov complexity. Our study gives an operational interpretation for operator spreading in terms of fidelity gain in quantum tomography. Continuing in our journey of finding the footprints of chaos in the quantum domain, we explore the growth of errors in noisy tomography. For random states, when the measurement record is obtained from a random operator, the subsequent drop in the fidelity obtained is inversely correlated to the degree of chaos in the dynamics. This gives us an operational interpretation of Loschmidt echo for operators by connecting it to the performance of quantum tomography. We find a quantity to capture the scrambling of errors, an out-of-time-ordered correlator (OTOC) between two operators under perturbed and unperturbed dynamics that serves as a signature of chaos. Our results demonstrate a fundamental link between Loschmidt echo and scrambling of errors, as captured by OTOCs, with operational consequences in quantum information processing.

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