FROM CLASSICAL NEURAL NETWORKS TO QUANTUM NEURAL NETWORKS

N.B. Karayiannis, R. Kretzschmar, Hans Richner

Karthikeyan Rajamani

The emerging field of Hybrid Quantum-Classical Neural Networks (HQCNNs) represents a groundbreaking fusion of quantum computing capabilities with traditional neural network architectures.HQCNNs leverage the quantum advantages of superposition states and high-dimensional Hilbert spaces while maintaining the robust pattern recognition capabilities of classical networks.By combining parameterized quantum circuits with classical optimization methods, these hybrid systems demonstrate remarkable potential across multiple domains, from molecular simulations to financial modeling.

Moolchand Sharma, Nebojša Bačanin, Tarik Ahmed Rashid

Do Ngoc Diep

Sriramakrishnan Chandrasekaran, Vicente García‐Díaz, Vishal Dutt

Nasrullah Masud, Abdus Sobhan, Md Tanvir Islam Sourav +1 more