QGAN-generated images, combined with class-specific sample allocation, improve a hybrid quantum-classical MNIST classifier relative to classical GANs and conventional augmentation in the reported simulations.
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QGAN-based data augmentation for hybrid quantum-classical neural networks
QGAN-generated images, combined with class-specific sample allocation, improve a hybrid quantum-classical MNIST classifier relative to classical GANs and conventional augmentation in the reported simulations.