Adaptive Robust High-Precision Atomic Gravimetry

• URL: http://arxiv.org/abs/2409.08550v1
• Date: Fri, 13 Sep 2024 06:04:47 GMT
• Title: Adaptive Robust High-Precision Atomic Gravimetry
• Authors: Jinye Wei, Jiahao Huang, Chaohong Lee,
• Abstract summary: We develop a protocol for achieving robust high-precision atomic gravimetry based upon adaptive Bayesian quantum estimation. Our approach offers superior precision, increased dynamic range, and enhanced robustness, making it highly promising for a range of practical sensing applications.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Atomic gravimeters are the most accurate sensors for measuring gravity, however, a significant challenge is how to achieve high precision even in the presence of noises. Here, we develop a protocol for achieving robust high-precision atomic gravimetry based upon adaptive Bayesian quantum estimation. Our protocol incorporates a sequence of interferometry measurements taken with short to long interrogation times and offers several key advantages. Firstly, it enables a high dynamic range without the need to scan multiple fringes for pre-estimation, making it more efficient than the conventional frequentist method. Secondly, it enhances robustness against noises, allowing for a significant measurement precision improvement in noisy environments. The enhancement can be more than $5$ times for a transportable gravimeter and up to an order of magnitude for a state-of-the-art fountain gravimeter. Notably, by optimizing the interferometry sequence, our approach can improve the scaling of the measurement precision ($\Delta g_{est}$) versus the total interrogation time ($\tilde{T}$) to $\Delta g_{est} \propto \tilde{T}^{-2}$ or even better, in contrast to the conventional one $\Delta g_{est} \propto \tilde{T}^{-0.5}$. Our approach offers superior precision, increased dynamic range, and enhanced robustness, making it highly promising for a range of practical sensing applications.

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