QPINN framework with QNN-based trainable embeddings solves the lid-driven cavity problem with stable training, competitive accuracy, and fewer parameters than classical PINNs.
Quantum-assisted learning of time-dependent parabolic pdes
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A QPINN Framework with Quantum Trainable Embeddings for the Lid-Driven Cavity Problem
QPINN framework with QNN-based trainable embeddings solves the lid-driven cavity problem with stable training, competitive accuracy, and fewer parameters than classical PINNs.