The paper reports that quantum-inspired Bloch rotations, combined with classical flips and perfect rotations, improve ImageNet Top-1 accuracy by about 3% relative to classical augmentation alone.
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Boosting Classification with Quantum-Inspired Augmentations
The paper reports that quantum-inspired Bloch rotations, combined with classical flips and perfect rotations, improve ImageNet Top-1 accuracy by about 3% relative to classical augmentation alone.