Credible-interval-based adaptive Bayesian quantum frequency estimation for entanglement-enhanced atomic clocks
Jungeng Zhou, Jiahao Huang, Jinye Wei, Chengyin Han, Chaohong Lee

TL;DR
This paper introduces an adaptive Bayesian protocol for quantum frequency estimation in atomic clocks that enhances dynamic range and maintains Heisenberg-limited precision using entangled GHZ states.
Contribution
It develops a credible-interval-based adaptive method that extends dynamic range without sacrificing sensitivity, applicable to both individual and cascaded GHZ states.
Findings
Achieves dual Heisenberg-limited scaling of 1/(Nt)
Extends dynamic range via adaptive interrogation times
More robust against noise and dephasing
Abstract
Entanglement-enhanced quantum sensors encounter a fundamental trade-off: while entanglement improves precision to the Heisenberg limit, it restricts dynamic range. To address this trade-off, we present a credible-interval-based adaptive Bayesian quantum frequency estimation protocol for Greenberger-Horne-Zeilinger (GHZ)-state-based atomic clocks. Our method optimally integrates prior knowledge with new measurements and determines the interrogation time by correlating it with the period of the likelihood function, based on Bayesian credible intervals. Our protocol can be implemented using either individual or cascaded GHZ states, thereby extending the dynamic range without compromising Heisenberg-limited sensitivity. In parallel with the cascaded-GHZ-state protocol using fixed interrogation times, the dynamic range can be extended through an interferometry sequence that employs…
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