Parallel Quantum Feature Augmentation, or PQFA, significantly reduces model size—achieving comparable results to an MLP with 24.0K parameters using only 2.2K.
Chinese Academy of Sciences’ PQFA Cuts Multimodal Model Parameters by 10×
Parallel Quantum Feature Augmentation, or PQFA, significantly reduces model size—achieving comparable results to an MLP with 24.0K parameters using only 2.2K.