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  • 标题:A Study on Quantum Inspired Hybrid Neural Networks Model
  • 本地全文:下载
  • 作者:Sitakanta Nayak ; Shaktikanta Nayak
  • 期刊名称:International Journal of Advanced Research In Computer Science and Software Engineering
  • 印刷版ISSN:2277-6451
  • 电子版ISSN:2277-128X
  • 出版年度:2013
  • 卷号:3
  • 期号:6
  • 出版社:S.S. Mishra
  • 摘要:Quantum Neural Networks is one of the new concept which exploits the advantages of both traditional neural networks and concept of quantum computation. A simple hybrid three layer quantum neural networks model is studied, which is composed of both quantum and traditional neurons. The weight of the quantum neuron is quantum bits and its transforming function is an inner product operator. The input and output layers are composed of traditional neurons and hidden layer is composed of quantum neurons. This hybrid model takes the advantages of inbuilt parallelism, high efficiency of quantum computation and non linear computation of traditional neural networks.
  • 关键词:Quantum neural networks; Quantum neuron; Hybrid neural network; Quantum computing; Quantum
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