#machine learning
Jan 2026
Bayesian quantum sensing using graybox machine learning
The graybox framework integrates a physics-based system model with a data-driven description of experimental imperfections, achieving higher fidelity than purely analytical (whitebox) approaches while requiring fewer training resources than fully deep-learning blackbox models.
Akram Youssry, S. Todd, Patrick D. F. Murton et al.
· arXiv.org · 1 citation