DocumentCode
2768168
Title
Self-Organizing Quantum Neural Network
Author
Zhou, Rigui ; Zheng, Hong Yuan ; Jiang, Nan ; Ding, Qiulin
Author_Institution
Nanjing Univ. of Aeronaut. & Astronaut., Nanjing
fYear
0
fDate
0-0 0
Firstpage
1067
Lastpage
1072
Abstract
This paper combines quantum computation with conventional artificial neural network theory to present a novel network - self-organizing quantum neural network (SOQNN) that can perform pattern classification self-organizationally and automatically through quantum competitive process. It does not need to prestore some given patterns but can classify input patterns with higher classification rapidity than that of classical neural networks(CNN).Further, SOQNN make the analogical pattern win easily in the next quantum competitive process by modifying the value of the quantum register(QR) corresponding to the pattern classified.
Keywords
neural nets; pattern classification; quantum computing; self-adjusting systems; artificial neural network theory; classification rapidity; pattern classification; quantum competitive process; quantum computation; quantum register; self-organizing quantum neural network; Artificial neural networks; Biology computing; Computer networks; Computer science; Computer science education; Neural networks; Pattern classification; Quantum computing; Quantum mechanics; Space technology;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2006. IJCNN '06. International Joint Conference on
Conference_Location
Vancouver, BC
Print_ISBN
0-7803-9490-9
Type
conf
DOI
10.1109/IJCNN.2006.246807
Filename
1716218
Link To Document