Author(s)

Jianping Li

School of Computer and Information Technology, Northeast Petroleum University, Daqing, China.

In this paper, a novel neural network is proposed based on quantum rotation gate and controlled- NOT gate. Both the input layer and the hide layer are quantum-inspired neurons. The input is given by qubits, and the output is the probability of qubit in the state . By employing the gradient descent method, a training algorithm is introduced. The experimental results show that this model is superior to the common BP networks.

Quantum Computing, Neural Networks, Algorithm Design

Li, J. (2015) Quantum-Inspired Neural Networks with Application. Open Journal of Applied Sciences, 5, 233-239. doi: 10.4236/ojapps.2015.56024.