210 citations · 260 across the 8 of their papers we have counts for
8 papers
Airborne Magnetic Anomaly Navigation with Neural-Network-Augmented Online Calibration
Antonia Hager, Sven Nebendahl, Alexej Klushyn +3
Airborne Magnetic Anomaly Navigation (MagNav) provides a jamming-resistant and robust alternative to satellite navigation but requires the real-time compensation of the aircraft pl…
Quantum Reservoir Computing for Corrosion Prediction in Aerospace: A Hybrid Approach for Enhanced Material Degradation Forecasting
Akshat Tandon, James Brown, Kenny Heitritter +5
The prediction of material degradation is an important problem to solve in many industries. Environmental conditions, such as humidity and temperature, are important drivers of deg…
Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection
Natansh Mathur, Brian Coyle, Nishant Jain +4
Identification of defects or anomalies in 3D objects is a crucial task to ensure correct functionality. In this work, we combine Bayesian learning with recent developments in quant…
Quantum Computing in Corrosion Modeling: Bridging Research and Industry
Juan Manuel Aguiar Hualde, Marek Kowalik, Lian Remme +7
Corrosion presents a major challenge to the longevity and reliability of products across various industries, particularly in the aerospace sector. Corrosion arises from chemical pr…
Quantum Multi-Agent Reinforcement Learning for Aerial Ad-hoc Networks
Theodora-Augustina Drăgan, Akshat Tandon, Carsten Strobel +2
Quantum machine learning (QML) as combination of quantum computing with machine learning (ML) is a promising direction to explore, in particular due to the advances in realizing qu…
Investigation of Feshbach Resonances in ultra-cold 40 K spin mixtures
Jasper S. Krauser, Jannes Heinze, S. Götze +7
Magnetically-tunable Feshbach resonances are an indispensable tool for experiments with atomic quantum gases. We report on twenty thus far unpublished Feshbach resonances and twent…