Preprint
Aug 2026
A quantum-assisted framework for PDE-based Bayesian inverse problems
A quantum-classical hybrid framework for Bayesian PDE inversion problems: the quantum processor evolves the PDE and evaluates the loss function with sampling noises, while the classical computer tunes the hyper-parameters in the Gaussian Process Regression to explore the next trial candidate.
Dong An, Yinan Li, Pucheng Tang et al.
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