DocumentCode :
2330571
Title :
A study on neuromorphic quantum computation
Author :
Sato, Shigeo ; Kinjo, Mitsunaga ; Takahashi, Osamu ; Nakamiya, Yuuki ; Nakajima, Koji
Author_Institution :
Res. Inst. of Electr. Commun., Tohoku Univ., Sendai, Japan
Volume :
4
fYear :
2004
fDate :
25-29 July 2004
Firstpage :
3253
Abstract :
A quantum computer employing a single quantum as a qubit executes real parallel computation. Several algorithms have been proposed for quantum computation. However, these algorithms are applicable only to a limited number of applications. Therefore, a general purpose algorithm should be studied and developed for practical use in the near future. We focus on the adiabatic evolution algorithm in order to incorporate an artificial neural network(ANN)-like method and discuss how to use this algorithm for solving an optimization problem.
Keywords :
artificial intelligence; evolutionary computation; neural nets; optimisation; quantum computing; adiabatic evolution algorithm; artificial neural network; neuromorphic quantum computation; optimization problem; parallel computation; quantum computer; qubit network; Application software; Artificial neural networks; Concurrent computing; Hopfield neural networks; Neural networks; Neuromorphics; Neurons; Numerical simulation; Quantum computing; Turing machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
Conference_Location :
Budapest
ISSN :
1098-7576
Print_ISBN :
0-7803-8359-1
Type :
conf
DOI :
10.1109/IJCNN.2004.1381200
Filename :
1381200
Link To Document :
بازگشت