2 papers
quant-ph2026
Bayesian quantum sensing using graybox machine learning
Akram Youssry, Stefan Todd, Patrick Murton +4
Quantum sensors offer significant advantages over classical devices in spatial resolution and sensitivity, enabling transformative applications across materials science, healthcare…
quant-ph2025
A multi-dimensional quantum estimation and model learning framework based on variational Bayesian inference
Federico Belliardo, Erik M. Gauger, Tim H. Taminiau +2
The advancement and scaling of quantum technology has made the learning and identification of quantum systems and devices in highly-multidimensional parameter spaces a pressing tas…