文章基本信息

标题：Computational Power of Quantum Artificial Neural Network
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作者：Sitakanta Nayak ; Shaktikanta Nayak ; Prof. J.P.Singh 等
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2011
卷号：2
期号：2(Version 1)
出版社：Ayushmaan Technologies
摘要：Quantum Artificial Neural Network (QANN) is one of the new paradigm built upon the combination of classical neural computation and quantum computation. It has great values for theoretic study and potential to applications. In this paper an attempt is made to show how a single quantum neuron is able to perform the XOR function which is unrealizable with a single classical neuron and has the same computational power as the two-layer perceptron.
关键词：QANN; Quantum Gates; Quantum neuron; XOR function;et??