Physics-Informed Quantum Machine Learning for Parameter Recovery in the Underdamped Harmonic Oscillator
A hybrid quantum model for recovering the damping coefficient of an underdamped harmonic oscillator from sparse noisy observations is studied, showing that both data and physics terms are needed, that circuit-depth effects are regime dependent, and that the observed ranking is robust to the tested observation-noise and...