Quantum Hopfield Network Using Single-Electron Circuits : Hopfield Network Without the Local-Minimum Problem

AKAZAWA M., AMEMIYA Y.

Bibliographic Information

Other Title

単電子回路による量子ホップフィールドネットワーク : ローカルミニマム問題のないホップフィールドネットワーク

Description

The Hopfield network is a computation model for solving combinatorial optimization problems through the use of the specific feedback network. The feedback network changes its internal state to minimize the energy function. Thus we can obtain the solution to the given problem by relating the cost function of the problem to the energy function of the network and by observing how the network settles down to the minimum energy state. Owing to the existence of local minima in the energy function, however, we cannot always be certain of obtaining the correct solution to the problem. To overcome this difficulty, the author proposes the idea that a novel Hopfield network, free from the local-minimum problem, can be attained by constructing the feedback network using single-electron circuits. In the single-election circuit, a phenomenon exists called "cotunneling", in which two or more tunnelings occur simultaneously as a coherent coupling. Using this phenomenon, we can construct a "quantum Hopfield network" in which the transition of a Hamming distance of more than two is possible.

Journal

IEICE technical report. Neurocomputing

IEICE technical report. Neurocomputing 97 (624), 265-271, 1998-03-20

The Institute of Electronics, Information and Communication Engineers

Keywords

Details 詳細情報について

CRID: 1574231877214432896

NII Article ID: 110003232832

NII Book ID: AN10091178

Text Lang: ja

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