量子神经网络及其应用  

Quantum Neural Network and Its Applications

作　　者：李飞[1] 郑宝玉[1] 赵生妹[1] 

机构地区：[1]南京邮电学院信号与信息处理研究所,南京210003

出　　处：《电子与信息学报》2004年第8期1332-1339,共8页Journal of Electronics & Information Technology

基　　金：国家自然科学基金(No.60272066);江苏省教育厅科研基金(2001省19)资助课题

摘　　要：量子计算与人工神经网络相结合的量子神经网络(Quantum Neural Networks,QNN)有可能成为未来信息处理的重要手段.分析了人工神经网络向QNN演变的动因及形式、QNN的优势及可能的物理实现方法.着重讨论了几种QNN模型的结构、学习方法及特性,并阐述了QNN在模式识别、纠缠计算、函数近似等方面的初步应用.Quantum Neural Networks (QNN) is a promising area which integrates Artificial Neural Netowrk(ANN) with quantum computing. The field of QNN is discussed, in particular, the motivation of ANN towards QNN, the advantages and the possible candidates for the implementation of QNN. Several QNN models are introduced in details and their architecture, learning algorithms and some properties are explored. The applications to pattern recognition, computing entanglement and multivariable functions approximation are analyzed.

关 键 词：神经网络 量子神经网络 量子计算 

分 类 号：TN911[电子电信—通信与信息系统] TN-052[电子电信—信息与通信工程]