文章基本信息

标题：Quantum-Inspired Neural Networks with Application
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作者：Jianping Li
期刊名称：Open Journal of Applied Sciences
印刷版ISSN：2165-3917
电子版ISSN：2165-3925
出版年度：2015
卷号：05
期号：06
页码：233-239
DOI：10.4236/ojapps.2015.56024
语种：English
出版社：Scientific Research Publishing
摘要：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.
关键词：Quantum Computing; Neural Networks; Algorithm Design