Simulator experiments show QuanNN is broadly more noise-robust than QCNN, while QCNN sometimes beats its own noiseless version under bit-flip, phase-flip, and phase-damping noise.
Investigating the effect of noise on the training performance of hybrid quantum neural networks,
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Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks
Simulator experiments show QuanNN is broadly more noise-robust than QCNN, while QCNN sometimes beats its own noiseless version under bit-flip, phase-flip, and phase-damping noise.