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Volume 25 Issue 5
May  2003
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Xie Guangjun, Li Bin, Zhuang Zhenquan. Theoretical analysis of the implementation of neural computation in quantum systems[J]. Journal of Electronics & Information Technology, 2003, 25(5): 606-611.
Citation: Xie Guangjun, Li Bin, Zhuang Zhenquan. Theoretical analysis of the implementation of neural computation in quantum systems[J]. Journal of Electronics & Information Technology, 2003, 25(5): 606-611.

Theoretical analysis of the implementation of neural computation in quantum systems

  • Received Date: 2001-09-03
  • Rev Recd Date: 2002-06-24
  • Publish Date: 2003-05-19
  • Through the comparison between quantum systems and information processing in human brain it can be found that there are many similar mathematical expressions both in quantum theory and neural networks, with some formula a generalized Hebb learning algorithm is proposed based on quantum system, and its convergence performance is also certified. Finally, a quantum neural computational model in a quantum dot system is designed, after analysing it results in that this model can realize the learning of simple logic.
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