Parallel Proportional Fusion of Spiking Quantum Neural Network Enhances Image Classification Performance

A novel parallel proportional fusion architecture combining spiking neural networks and variational quantum circuits outperforms existing classical and hybrid models in image classification tasks, exhibiting superior accuracy, robustness, and noise immunity.