ANALOG QUANTUM NEURON FOR FUNCTIONS APPROXIMATION

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We describe a system able to perform universal stochastic approximations of continuous multivariable functions in both neuron-like and quantum manner. The implementation of this model in the form of multi-barrier multiple-silt system has been earlier proposed. For the simplified waveguide variant of this model it is proved, that the system can approximate any continuous function of many variables. This theorem is also applied to the 2-input quantum neural model analogical to the schemes developed for quantum control.

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194 Kilobytes pages

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EZHOV, A.; KHROMOV, A. & BERMAN, G. May 1, 2001.

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Description

We describe a system able to perform universal stochastic approximations of continuous multivariable functions in both neuron-like and quantum manner. The implementation of this model in the form of multi-barrier multiple-silt system has been earlier proposed. For the simplified waveguide variant of this model it is proved, that the system can approximate any continuous function of many variables. This theorem is also applied to the 2-input quantum neural model analogical to the schemes developed for quantum control.

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194 Kilobytes pages

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  • Report No.: LA-UR-01-2580
  • Grant Number: W-7405-ENG-36
  • Office of Scientific & Technical Information Report Number: 780714
  • Archival Resource Key: ark:/67531/metadc715056

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  • May 1, 2001

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  • Sept. 29, 2015, 5:31 a.m.

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  • March 11, 2016, 12:34 p.m.

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EZHOV, A.; KHROMOV, A. & BERMAN, G. ANALOG QUANTUM NEURON FOR FUNCTIONS APPROXIMATION, article, May 1, 2001; New Mexico. (digital.library.unt.edu/ark:/67531/metadc715056/: accessed December 13, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.