3 papers
eess.SP2026
Generalized likelihood ratio test for magnetic anomaly detection: a geometrical approach
C. Chenevas-Paule, S. Zozor, L. -L. Rouve +3
State-of-the-art approaches to magnetic anomaly detection rely on the generalized likelihood ratio test (GLRT). These approaches are based on the formulation of a parametric model…
eess.SP2025
On multipolar magnetic anomaly detection: multipolar signal subspaces, an analytical orthonormal basis, multipolar truncature and detection performance
Clément Chenevas-Paule, Steeve Zozor, Laure-Line Rouve +3
In this paper, we consider the magnetic anomaly detection problem which aims to find hidden ferromagnetic masses by estimating the weak perturbation they induce on local Earth's ma…
quant-ph2025
Trainability and Expressivity of Hamming-Weight Preserving Quantum Circuits for Machine Learning
Léo Monbroussou, Eliott Z. Mamon, Jonas Landman +3
Quantum machine learning (QML) has become a promising area for real world applications of quantum computers, but near-term methods and their scalability are still important researc…