Physics-Informed Quantum Machine Learning for Parameter Recovery in the Underdamped Harmonic Oscillator
Physics-informed neural networks are widely used for inverse problems governed by differential equations, whereas evidence for physics-informed quantum models remains limited. We study a hybrid quantum model for recovering the damping coefficient of an underdamped harmonic oscillator from sparse noisy observations. T...