Hybridization Algorithms Optimize Onboard Classical and Quantum Accelerometers for Airborne Acceleration Measurements

Quantum Physics arXiv:2510.11201 (quant-ph) [Submitted on 13 Oct 2025] Title:Comparison and optimisation of hybridization algorithms for onboard classical and quantum accelerometers Authors:Benoit Kaczmarczuk (1), Yannick Bidel (2), Alexandre Bresson (2), Nassim Zahzam (2), Alexis Bonnin (2), Malo Cadoret (2,3), Tim Enzlberger Jensen (4), Quentin Beaufils (1), Franck Pereira Dos Santos (1) ((1) Observatoire de Paris, France, (2) ONERA, France, (3) Conservatoire National des Arts et Metiers, France, (4) Technical University of Denmark, National Space Institute, Denmark) View a PDF of the paper titled Comparison and optimisation of hybridization algorithms for onboard classical and quantum accelerometers, by Benoit Kaczmarczuk (1) and 17 other authors View PDF HTML (experimental) Abstract:We study two hybridization algorithms used for the combination of 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 was previously used in seaborne and airborne gravity measurement campaigns. The second is based on the combination of three consecutive measurements and was originally developed to increase the measurement range of the quantum sensor beyond its linear range. After comparing their performances using synthetic data, we implement them on acceleration data collected in a recent airborne campaign and evaluate the bias and the 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 two accelerometers' measurements and a significant reduction of the error in the estimation of the bias of the classical sensor. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2510.11201 [quant-ph] (or arXiv:2510.11201v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2510.11201 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Benoit Kaczmarczuk [view email] [v1] Mon, 13 Oct 2025 09:33:08 UTC (2,608 KB) Full-text links: Access Paper: View a PDF of the paper titled Comparison and optimisation of hybridization algorithms for onboard classical and quantum accelerometers, by Benoit Kaczmarczuk (1) and 17 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2025-10 References & Citations INSPIRE HEP NASA ADSGoogle Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv (What is alphaXiv?) Links to Code Toggle CatalyzeX Code Finder for Papers (What is CatalyzeX?) DagsHub Toggle DagsHub (What is DagsHub?) GotitPub Toggle Gotit.pub (What is GotitPub?) Huggingface Toggle Hugging Face (What is Huggingface?) Links to Code Toggle Papers with Code (What is Papers with Code?) ScienceCast Toggle ScienceCast (What is ScienceCast?) Demos Demos Replicate Toggle Replicate (What is Replicate?) Spaces Toggle Hugging Face Spaces (What is Spaces?) Spaces Toggle TXYZ.AI (What is TXYZ.AI?) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower (What are Influence Flowers?) Core recommender toggle CORE Recommender (What is CORE?) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)