摘要
提出了二阶Hopfield神经元及其量子动力学模型,讨论了它的粒子数图像,计算了真空量子涨落幅度值.这个幅度值是设计量子神经电子器件,并基于量子神经网络器件进行量子神经计算、量子神经信息存储与提取的物理限制.文章还进一步讨论了量子神经网络器件在信息安全中的应用.
A new concept—quantum neural network has been presented in this paper. By constructing a two order Hopfield neural network and the quantum dynamic model, this paper discusses the particle picture and figures out the rate of vacuum quantum fluctuation . Because of non-zero amplitude of vacuum quantum fluctuation of quantum neural network, a physical limit is appeared, which will restrict the design of quantum neural apparatus, quantum neural network computation, and memory and pick-up for quantum neural information systems. Finally, the application of quantum neural network to information security is discussed.
出处
《浙江万里学院学报》
2003年第2期10-13,共4页
Journal of Zhejiang Wanli University
基金
国家自然科学基金资助项目(79970025)
教育部重点项目.
关键词
人工神经网络
量子神经网络
信息安全
artificial neural network
quantum neural network
information security
