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一种紧凑、高数据率、高灵敏度的基于GMOT的光脉冲原子干涉仪,面向时间复用、多轴惯性传感

A Compact, High-Data-Rate, High-Sensitivity GMOT-Based Light-Pulse Atom Interferometer toward Time-Multiplexed, Multi-Axis Inertial Sensing

Benjamin Smith, Adrian Orozco, Jongmin Lee

arXiv 2610.01735首次发表:更新:

发表机构

Sandia National Laboratories; University of New Mexico(桑迪亚国家实验室; 新墨西哥大学)

机构由 AI 辅助整理,请以论文原文为准。

AI 中文总结

本研究展示了一种基于GMOT的紧凑型光脉冲原子干涉仪,实现高数据率(100 Hz)和高灵敏度(550 ng/rt-Hz),并具备良好偏置稳定性,为动态环境下的量子惯性传感和多轴时间复用测量奠定基础。

AI 中文摘要

光脉冲原子干涉测量已成为开发用于实际应用的量子惯性和重力传感器的一种有前景的方法,但在动态环境中实现稳健运行而不牺牲灵敏度仍然具有挑战性。为了减轻由振动引起的噪声以及自由下落原子与光脉冲之间空间重叠不匹配所导致的性能退化,我们展示了一种首创的高数据率、高灵敏度的基于光栅磁光阱(GMOT)的光脉冲原子干涉仪(LPAI)。该系统采用紧凑、坚固的GMOT架构,基于真空内微加工光栅芯片和单束激光冷却光束,实现具有亚多普勒冷却的高数据率GMOT冷原子生成。我们的基于GMOT的LPAI以高数据率(高达100 Hz)运行,同时实现高加速度灵敏度(在20 Hz时为550 ng/rt-Hz,在45 Hz时为1.49 ug/rt-Hz,在70 Hz时为6.31 ug/rt-Hz)和良好的偏置稳定性(71 ng)。这种紧凑、坚固的架构为高动态环境下可部署的量子惯性和重力传感器以及时间复用、多轴惯性传感铺平了道路。

英文摘要

Light-pulse atom interferometry has emerged as a promising approach for developing quantum inertial and gravity sensors for real-world applications, but achieving robust operation in dynamic environments without sacrificing sensitivity remains challenging. To mitigate performance degradations resulting from vibration-induced noise and mismatches in the spatial overlap between free-falling atoms and light pulses, we demonstrate a first-of-a-kind high-data-rate, high-sensitivity grating magneto-optical trap (GMOT)-based light-pulse atom interferometer (LPAI). This system uses a compact, rugged GMOT architecture, based on an in-vacuum microfabricated grating chip and a single laser-cooling beam, to enable high-data-rate GMOT-based cold-atom generation with sub-Doppler cooling. Our GMOT-based LPAI operates at high data rates (up to 100 Hz), while simultaneously achieving both high acceleration sensitivity (550 ng/rt-Hz at 20 Hz, 1.49 ug/rt-Hz at 45 Hz, and 6.31 ug/rt-Hz at 70 Hz) and good bias stability (71 ng). This compact, rugged architecture paves the way for field-deployable quantum inertial and gravity sensors in high dynamics and for time-multiplexed, multi-axis inertial sensing.

Comments9 pages, 7 figures

论文原文

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