A Quantum Optimization Framework for Data-Assimilation-Augmented Parameter Estimation
A hybrid classical-quantum framework is developed that reformulates a data-assimilation-augmented parameter estimation problem as a combinatorial optimization task and is used to recover classical system parameters from partial state observations across steady-state, chaotic, and high-dimensional multiscale dynamical s...