摘要
通过对量子计算与神经计算的对比分析,提出量子神经计算这一全新的计算技术.简要论述了量子Hebb学习规则、基于量子双缝干涉的神经网络模型以及量子Hamming竞争学习算法,揭示了量子神经计算的一些本质特征.
Through the comparison between the quantum computation and the neural computation,a new technology called quantum neural computation is presented.A generalized quantum Hebb learning algorithm,a quantum neural network model based on the double-slit interference experiment,and a quantum Hamming competitive learning algorithm are discussed;at the same time some essential characters of the quantum neural computation are also revealed.
出处
《吉首大学学报(自然科学版)》
CAS
2005年第1期3-7,共5页
Journal of Jishou University(Natural Sciences Edition)
基金
国家自然科学基金资助项目(60302014)
中国博士后科学基金资助项目(20040350578)
安徽省自然科学基金资助项目(03042202)