WiMi Studies Hybrid Quantum-Classical Learning Architecture for Multi-Class Image Classification

Quantum computing provides a completely new approach. It utilizes quantum superposition and entanglement effects to process information simultaneously in an exponential space, bringing theoretical acceleration advantages for complex pattern recognition tasks. Based on this characteristic, quantum machine learning (QML) is considered the next stage of artificial intelligence development. However, current quantum computers are still in the NISQ stage, with limited qubit numbers and susceptibility to noise int ...