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quant-ph2025
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…
quant-ph2025
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…
quant-ph2025
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…