DocumentCode :
2295626
Title :
Implementing associative memory with quantum neural networks
Author :
Zhao, Jie-Yu
Author_Institution :
Res. Inst. of Comput. Sci. & Technol., Ningbo Univ., China
Volume :
5
fYear :
2004
fDate :
26-29 Aug. 2004
Firstpage :
3197
Abstract :
In this paper an attempt is made to implement associative memory with quantum neural networks. The quantum algorithms for the storage of pattern and the retrieval of information are presented. It is shown that the capacity and the processing speed of the quantum neural network increase exponentially compared to the conventional model. The neural computing method for the calculation of quantum entanglement is also discussed.
Keywords :
content-addressable storage; neural nets; quantum computing; quantum entanglement; associative memory; information retrieval; neural computing method; pattern storage; quantum algorithms; quantum entanglement; quantum neural networks; Associative memory; Computer networks; Concurrent computing; Information retrieval; Neural networks; Parallel processing; Quantum computing; Quantum entanglement; Quantum mechanics; Turing machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
Type :
conf
DOI :
10.1109/ICMLC.2004.1378586
Filename :
1378586
Link To Document :
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