DocumentCode
1680672
Title
Advantages of quantum recurrent networks: an examination of stable states
Author
Allauddin, Raheel ; Gaddam, Kavitha ; Behrman, E.C. ; Steck, J.E. ; Skinner, S.R.
Author_Institution
Wichita State Univ., KS, USA
Volume
3
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
2732
Lastpage
2737
Abstract
We continue our investigation of the ways in which both quantum computing and neural computing can be augmented by combining the two. Here, we quantify the increase in storage capacity of the quantum Hopfield network, as a function of its increasing quantum mechanical nature
Keywords
quantum computing; recurrent neural nets; neural computing; quantum computing; quantum mechanical nature; quantum recurrent networks; stable states; storage capacity; Aerospace engineering; Computer science; Equations; Hopfield neural networks; Information retrieval; Mechanical engineering; Neurons; Physics computing; Quantum computing; Quantum mechanics;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location
Honolulu, HI
ISSN
1098-7576
Print_ISBN
0-7803-7278-6
Type
conf
DOI
10.1109/IJCNN.2002.1007579
Filename
1007579
Link To Document