Estimating time in quantum chaotic systems and black holes
Haifeng Tang, Shreya Vardhan, and Jinzhao Wang

TL;DR
This paper explores how the ability to estimate time in quantum chaotic systems and black holes varies with measurement complexity, revealing universal features and implications for the black hole information paradox.
Contribution
It introduces a quantum metrology approach to analyze time estimation in chaotic systems and contrasts predictions with semiclassical gravity, offering new insights into black hole information loss.
Findings
Optimal measurements on large subsystems enable precise late-time time estimation.
Measurement restrictions lead to increased late-time uncertainty, aligning with equilibration.
Contradicts Hawking's semiclassical predictions, suggesting a resolution to the information paradox.
Abstract
We characterize new universal features of the dynamics of chaotic quantum many-body systems, by considering a hypothetical task of "time estimation." Most macroscopic observables in a chaotic system equilibrate to nearly constant late-time values. Intuitively, it should become increasingly difficult to estimate the precise value of time by making measurements on the state. We use a quantity called the Fisher information from quantum metrology to quantify the minimum uncertainty in estimating time. Due to unitarity, the uncertainty in the time estimate does not grow with time if we have access to optimal measurements on the full system. Restricting the measurements to act on a small subsystem or to have low computational complexity leads to results expected from equilibration, where the time uncertainty becomes large at late times. With optimal measurements on a subsystem larger than…
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Taxonomy
TopicsQuantum chaos and dynamical systems · Quantum Mechanics and Applications · Computational Physics and Python Applications
