DocumentCode
1818120
Title
Implementing competitive learning in a quantum system
Author
Ventura, Dan
Author_Institution
Fonix Corp., Salt Lake City. UT, USA
Volume
1
fYear
1999
fDate
1999
Firstpage
462
Abstract
Ideas from quantum computation are applied to the field of neural networks to produce competitive learning in a quantum system. The resulting quantum competitive learner has a prototype storage capacity that is exponentially greater than that of its classical counterpart. Furthermore, empirical results from simulation of the quantum competitive learning system on real-world data sets demonstrate the quantum system´s potential for excellent performance
Keywords
neural nets; pattern classification; quantum theory; unsupervised learning; competitive learning; neural networks; pattern classification; quantum system; storage capacity; Computational modeling; Computer networks; Hilbert space; Learning systems; Neural networks; Prototypes; Quantum computing; Quantum mechanics; Vectors; Wave functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location
Washington, DC
ISSN
1098-7576
Print_ISBN
0-7803-5529-6
Type
conf
DOI
10.1109/IJCNN.1999.831539
Filename
831539
Link To Document