OJAppS  Vol.5 No.6 , June 2015
Quantum-Inspired Neural Networks with Application
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.
Cite this paper: Li, J. (2015) Quantum-Inspired Neural Networks with Application. Open Journal of Applied Sciences, 5, 233-239. doi: 10.4236/ojapps.2015.56024.

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