Presentation 1999/3/19
Solving Combinational Optimization Problems with the Quantum Hopfield Network
E. TOKUDA, N. ASAHI, M. AKAZAWA, Y. AMEMIYA,
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Abstract(in English) The quantum Hopfield network is a kind of recurrent neural network that can always converge to the global minimum state without being stuck in local minima. This property is obtained by utilizing the co-tunneling phenomenon in quantum systems. This paper proposes a method of constructing the quantum Hopfield network by using single-electron circuits. The operation of the single-electron quantum Hopfield network is analized by computer simulation, assuming an instance of combinatrial optimization problems. It is demonstrated that, starting with a given initial state, the network can converge to the minimum energy state that represents the correct solution to the problem.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Quantum Hopfield Network / single-electron circuits / co-tunneling / solving for certain
Paper # NC98-163
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Committee NC
Conference Date 1999/3/19(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Solving Combinational Optimization Problems with the Quantum Hopfield Network
Sub Title (in English)
Keyword(1) Quantum Hopfield Network
Keyword(2) single-electron circuits
Keyword(3) co-tunneling
Keyword(4) solving for certain
1st Author's Name E. TOKUDA
1st Author's Affiliation Faculty of Engineering, Hokkaido University()
2nd Author's Name N. ASAHI
2nd Author's Affiliation Faculty of Engineering, Hokkaido University
3rd Author's Name M. AKAZAWA
3rd Author's Affiliation Faculty of Engineering, Hokkaido University
4th Author's Name Y. AMEMIYA
4th Author's Affiliation Faculty of Engineering, Hokkaido University
Date 1999/3/19
Paper # NC98-163
Volume (vol) vol.98
Number (no) 674
Page pp.pp.-
#Pages 6
Date of Issue