Maida Wang

Explainable quantum-compressed machine learning for complex fluid flows

On two patient-specific cardiovascular benchmarks, the structured QCML propagator matches the predictive accuracy of its classical counterpart on surface pressure spectra, pressure drop, and wall shear stress, establishing QCML as a working component of scientific machine learning and a concrete contribution towards practical quantum advantage in real-world prediction.