Author

Mingyang Gao

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Preprint Jul 2026

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.

Xiao Xue, Maida Wang, Mingyang Gao et al. · 0 citations

Open access Jul 2026

Fast-forward prediction of lattice Boltzmann dynamics with physics-informed neural operators

A physics-informed neural operator framework is introduced that predicts the LBE evolution over large time jumps without performing step-by-step forward integration, bypassing the need to solve the collision kernel explicitly.

Xiao Xue, Marco F. P. ten Eikelder, Mingyang Gao et al. · Nature Communications · 0 citations