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組み合わせ最適化問題を量子アニーリングシミュレータで解く.pdf
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組み合わせ最適化問題を量子アニーリングシミュレータで解く.pdf
1.
組合せ最適化問題を量子アニーリング シミュレータで解く 開発企画部 朱川 聖人
2.
目次 1. 組み合わせ最適化問題 2. アニーリングアルゴリズム 3.
量子アニーリング 4. 量子コンピューティングクラウドの紹介 5. 巡回セールスマン問題を解く
3.
組み合わせ最適化問題 Nが増えると組み合わせが膨大 現実的には次の問題のように解く 必須な栄養を満たしつつ、カロリー が最も低い組み合わせは? →目的関数: f(X)へ変換して最小化 完全栄養マクドナルド食問題 一日に必要な栄養素を満たす献立とは
4.
アニーリング 似てる 位置エネルギー E(X) X 状態空間 目的関数 f(X) X 状態空間 エネルギー E(X) 組み合わせ最適化 量子アニーリングのイメージ 初期状態 トンネル効果
5.
Fixstars Amplify 組み合わせ最適化問題をイジングマシン(又シミュレータ)で解くクラウド基盤 特徴 ● 色んなマシンに対応 ●
無料(個人利用) ● シンプル→後述 導入 1. pip3 install amplify 2. アクセストークンの取得 3. Let’s プログラミング
6.
Fixstars Amplifyを用いたプログラミング 1. 問題を目的関数f(s)に変換 2.
目的関数をイジングモデルへ変換 3. イジングモデルを物理モデルに変換 4. 物理モデルを用いてマシンを制御 5. 実行 Amplify SDKでラップ
7.
実演 無料なので是非遊んでみよう オンライン実行環境 Fixstars Amplifyオンラインデモ https://amplify.fixstars.com/demo
8.
数の分割問題を解く 整数の部分集合 A={a0, …
aN-1} をSum(A1) = Sum(A2)となるように分割 目的関数: 目的関数が最小となるイジングスピンsiの組み合わせを探る
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