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arXiv:2209.13209 · Science Advances

Tracking the vector acceleration with a hybrid quantum accelerometer triad

Simon Templier, P. Cheiney, Quentin d’Armagnac de Castanet, Baptiste Gouraud, Henri Porte, Fabien Napolitano, Philippe Bouyer, Baptiste Battelier, B. Barrett

Published Nov 9, 2022• 61 citations
arXivHTMLPDF

Abstract

Robust and accurate acceleration tracking remains a challenge in many fields. For geophysics and economic geology, precise gravity mapping requires onboard sensors combined with accurate positioning and navigation systems. Cold atom–based quantum inertial sensors can potentially provide these high-precision instruments. However, current scalar instruments require precise alignment with vector quantities. Here, we present the first hybrid three-axis accelerometer exploiting the quantum advantage to measure the full acceleration vector by combining three orthogonal atom interferometer measurements with a classical navigation-grade accelerometer triad. Its ultralow bias permits tracking the acceleration vector over long time scales, yielding a 50-fold improvement in stability (6 × 10 −8 g ) over our classical accelerometers. We record the acceleration vector at a high data rate (1 kHz), with absolute magnitude accuracy below 10 μ g , and pointing accuracy of 4 μrad. This paves the way toward future strapdown applications with quantum sensors and highlights their potential as future inertial navigation units.

DOI
10.1126/sciadv.add3854

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We present a mobile 3D accelerometer based on matter-wave interferometry, which is capable of measuring three orthogonal accelerations, each with respect to an independent inertial reference frame defined by the surface of a mirror. On each axis, we construct a hybrid quantum/classical accelerometer by using correlations between the atoms and a mechanical accelerometer attached to the back of each reference mirror. This system combines the large bandwidth and dynamic range of classical devices with the high sensitivity and accuracy of atom interferometers. By correcting each classical accelerometer independently, we are able to track the full acceleration vector with high accuracy.
Positioning currently relies heavily on Global Navigation Satellite Systems (GNSS). Combined with classical accelerometers and gyroscopes, precise determination of orientation and position at any given time become available. However, but the availability of GNSS (e.g. GPS) is limited and not guaranteed at all times.In this paper we present an alternative based on atom interferometry using cold atom ensembles. An inertial sensor based on cold atoms allows, in theory, for nearly drift-free measurements of inertial forces with accuracies unreached by classical sensors, but the technology is still locked away in large physics laboratories [1].This paper introduces a compact device called SECAMP, which is capable of cooling atoms down to μ-Kelvin. SECAMP has the potential to measure inertial acceleration in three degrees of freedom. In the following, we present the current experimental setup of the apparatus and outline the next steps for the inertial sensor.
We study two hybridization algorithms that are used for combining a quantum inertial sensor based on atom interferometry with a classical inertial sensor for onboard acceleration measurements. The first is based on the direct extraction of the interferometer phase and has previously been used in seaborne and airborne gravity-measurement campaigns. The second relies on the combination of three consecutive measurements and was originally developed to increase the measurement range of the quantum sensor beyond its linear regime. After comparing their performances using synthetic data, we implement them on acceleration data collected in a recent airborne campaign and evaluate the bias and scale-factor error of the classical sensor. We, then, extend their scope to the dynamical evaluation of other key measurement parameters (e.g., alignment errors). We demonstrate an improvement in the correlation between the measurements of the two accelerometers, and we observe a significant reduction in the error in the estimation of the bias of the classical sensor.