An Approach for Quantum Computing using Adiabatic Evolution Algorithm
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概要
- 論文の詳細を見る
A quantum computer employing a single quantum as a qubit executes real parallel computation and has various applications. 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. In this paper, we focus on the adiabatic evolution algorithm for general purpose quantum computation and discuss how to use this algorithm for solving an optimization problem. We show a new algorithm incorporating an artificial neural network (ANN)-like method in order to compose another Hamiltonian. The new algorithm is helpful for reducing computation cost and is easy to implement. Successful simulation results are shown.
- Published by the Japan Society of Applied Physics through the Institute of Pure and Applied Physicsの論文
- 2003-11-15
著者
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Nakajima Koji
Laboratory For Brainware Reseach Institute Of Electrical Comunication Tohoku University:laboratory F
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Kinjo Mitsunaga
PRESTO, Japan Science and Technology Agency, 4-1-8, Hon-cho, Kawaguchi 332-0012, Japan
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Sato Shigeo
Laboratory for Brainware System, Laboratory for Nanoelectronics and Spintronics, Research Institute of Electrical Communication, Tohoku University, Sendai 980-8577 Japan
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Sato Shigeo
Laboratory for Electronic Intelligent Systems, Research Institute of Electrical Communication, Tohoku University, 2-1-1, Katahira, Aoba-ku, Sendai 980-8577, Japan
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