关键词: 量子计算, 量子神经网络, 通用量子门, 故障诊断

Abstract: In order to improve the performance of quantum neural network, considering the current research of neural network mechanism, quantum neuron model based on quantum gate set is proposed and Quantum Gate Set Neural Network（QGSNN） is established. The structure of QGSNN contains input layer, hidden layer and output layer. The input is quantum training samples after transformed. Quantum rotation gate and universal quantum gate are used for rotation selection overturn and aggregation, and the network parameters are updated. The results after trained are output. The generalization performance of QGSNN is proved in mathematics, and the proposed method is verified by two simulation experiments. The results indicate that, compared with common neural network and common quantum neural network, QGSNN has better effect on generalization performance, robustness accuracy and execution time.

Key words: quantum computation, quantum neural network, universal quantum gate, fault diagnosis