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2008年06月28日

量子アニーリングに関連した話

Yesterday, since the third DEX-SMI seminar was held, I took part in.

This seminar's talker is Prof. Nishimori and he is introducing on his current work with his student, that is to say quantum annealing. Note that the theme in this talk is surveyed in arXiv.. Quantum annealing is well-known as one of the most glamorous algorithm based on quantum physics in order to assess the optimization problem. Because I am not good at demonstrating quantum annealing in detail, if you like to know, would you check here?

One of the difficulty in the assessment the optimization problem by utilizing quantum annealing is the annealing schedule so as to evaluate the global minima or maxima. The aim of his present work is to resolve the difficulty and to guarantee mathematically to catch up with the ground state, that is the optimal in given physical system. Namely, their strategy accepted is worst case analysis and upper bound evaluation. It is only simple but powerful scheme.

Geman-Geman conjecture states that if simulated annealing schedule in the case of sufficient large time is satisfied with the inequality as follows;

T(t)>pN/(log(t))

where "T(t)" is termed absolute temperature, "N" represents the system size, "p" indicates constant depended on the problem, and "t" is time, then the simulated annealing algorithm is typically able to keep up with the ground state. This speaker has been developing this conjecture with respect to the case of quantum annealing and more general case. Unfortunately so I am bad at quantum physics, although I can't get it in detail, I can get only to appreciate their result. How a wonderful it is!

If you would like to know the result obtained, you could directly mail to Prof. Nishimori.

Ciao!

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少し量子アーニリングに関するページを読んでみました。「量子アーニリングとは最適化問題の量子力学を用いた解法である」「いわゆる巡回セールスマン問題のようなNP完全問題に対して量子コンピューターは圧倒的な速さで計算を可能にするといわれている。そのような問題の一種にスピングラス状態の最適状態を探す問題も含まれる」。文系の頭が爆発しましたが、感謝します!
Posted by pata at 2008年06月29日 10:25
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