DocumentCode
1749287
Title
Analog quantum neuron for functions approximation
Author
Ezhov, A.A. ; Khromov, A.G. ; Berman, G.P.
Author_Institution
Troitsk Inst. of Innovation & Fusion Res., Moscow, Russia
Volume
2
fYear
2001
fDate
2001
Firstpage
1577
Abstract
We describe a system which is 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
Keywords
function approximation; mathematics computing; neural nets; quantum computing; analog quantum neuron; functions approximation; multivariable continuous functions; quantum computation; quantum neural model; Analog computers; Artificial neural networks; Computer architecture; Function approximation; Hardware; Information processing; Neurons; Quantum computing; Quantum mechanics; Stochastic systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
Conference_Location
Washington, DC
ISSN
1098-7576
Print_ISBN
0-7803-7044-9
Type
conf
DOI
10.1109/IJCNN.2001.939600
Filename
939600
Link To Document