TITLE:
Quantum-Inspired Neural Networks with Application
AUTHORS:
Jianping Li
KEYWORDS:
Quantum Computing, Neural Networks, Algorithm Design
JOURNAL NAME:
Open Journal of Applied Sciences,
Vol.5 No.6,
May
27,
2015
ABSTRACT: 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.