Fast, accurate, and predictive method for atom detection in site-resolved images of microtrap arrays

Optical detection of atoms or molecules in microtrap arrays is one of the enabling techniques for quantum simulation and computation. In many settings the individual traps are not optically resolved, and detection accuracy depends crucially on an image-processing algorithm. This study introduces an optimal method, rooted in estimation theory, that can drastically improve detection accuracy compared to familiar algorithms. It also provides a rigorous definition for the signal-to-noise ratio of the problem, which can be used to define the practical conditions under which accurate detection is possible, and to rationalize the design of future experiments in affected fields.

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Publication Details

Journal
Physical Review Applied
Published
2025-10-09
DOI
https://doi.org/10.1103/ymkm-frhw
Primary Topic
Quantum Information and Cryptography
Type
article
Field-Weighted Citation Impact
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article

Fast, accurate, and predictive method for atom detection in site-resolved images of microtrap arrays

François Goudail, Pauline Trouvé-Peloux, Romaric Journet, Caroline Kulcsár et al.
Physical Review Applied
Quantum Information and Cryptography
article

Fast, accurate, and predictive method for atom detection in site-resolved images of microtrap arrays

François Goudail, Pauline Trouvé-Peloux, Romaric Journet, Caroline Kulcsár, Marc Cheneau, Matthieu Boffety
article en

Abstract

Optical detection of atoms or molecules in microtrap arrays is one of the enabling techniques for quantum simulation and computation. In many settings the individual traps are not optically resolved, and detection accuracy depends crucially on an image-processing algorithm. This study introduces an optimal method, rooted in estimation theory, that can drastically improve detection accuracy compared to familiar algorithms. It also provides a rigorous definition for the signal-to-noise ratio of the problem, which can be used to define the practical conditions under which accurate detection is possible, and to rationalize the design of future experiments in affected fields.

Physical Review AppliedVol. 24(6)
Twitter (United States) (US), Centre National de la Recherche Scientifique (FR), Université Paris-Saclay (FR), Office National d'Études et de Recherches Aérospatiales (FR), Laboratoire Charles Fabry (FR)
Openalex Percentile: Top 79%
Quantum Information and Cryptography
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Fast, accurate, and predictive method for atom detection in site-resolved images of microtrap arrays — François Goudail, Pauline Trouvé-Peloux, et al. · Physical Review Applied (2025) | TGRS Research Map | TGRS