Efficient Hybrid Quantum-Spiking Neural Network Architecture

This ArXiv paper explores a novel hybrid architecture, which could significantly improve the efficiency of both quantum and spiking neural networks. The combination of spiking and quantum approaches is a promising area of research.

• •Focuses on parameter-efficient hybrid architecture.
• •Combines spiking neural networks and quantum convolutional neural networks.
• •Employs surrogate gradients and quantum data-reupload techniques.