プログラム可能な200GOPSホップフィールドにインスパイアされたフォトニックアイシングマシン
Nayem Al-Kayed1,2, Charles St-Arnault2,3, Hugh Morison1,2
1Centre for Nanophotonics, Department of Physics, Engineering Physics, and Astronomy, Queen's University, Kingston, Ontario, Canada.
Nature
|December 17, 2025
まとめ
この研究は,室温光電子振動器 (OEO) ベースの新しいイシングマシンを導入します. このスケーラブルな光子システムは,既存の光子イッシングマシンを上回る複雑な最適化問題の高速な計算を実現します.
科学分野:
- 物理学
- コンピュータ科学
- エンジニアリング
背景:
- イージングマシンはNPハードの問題に対して有望であるが,現在の物理的な実装にはスケーラビリティ,再構成性,速度,および安定性が欠けている.
- 量子アネイラーは,密度グラフに対する二次量子ビットの要求により,スケーラビリティの制限に直面します.
- 現存する光子アイシングマシンは 大規模な問題解決に苦労しています
研究 の 目的:
- プログラム可能な,安定した,室温の光電子振動器 (OEO) ベースのIsingマシンを導入する.
- 大規模なコンビネトリアル最適化問題を解くことができる光学イッシングマシンを実証する.
- デジタル信号処理 (DSP) を光学コンピューティングに統合して性能を向上させる可能性を探求する.
主な方法:
- カスケード薄膜リチウムニオバート (TFLN) モジュール,半導体光学増幅器 (SOA),DSPエンジンを用いた再帰時間コードループアーキテクチャを開発した.
- 問題解決のためのスピン表現における線形スケーリングを達成した.
- ローカル・ミニマスを回避し,コンバージェンスを加速するために,高バードレートの固有のノイズを利用した.
主要な成果:
- 256回までの完全接続の問題と41,000回以上の稀な問題を解決できるシステムを実証した.
- 毎秒200ギガオペレーション (GOPS) を超える潜在的計算速度を達成しました.
- 最大切断問題 (2000回転と20,000回転) と数分割と格子タンパク質折り畳み基準の基本状態のソリューションでクラス最高のソリューション品質を得ました.
結論:
- 開発されたOEOベースのIsingマシンは,複雑な最適化のためのスケーラブルで高速な室温ソリューションを提供します.
- DSPを統合することで,コンバージェンスとソリューションの品質が向上し,高度な光学コンピューティングへの道が開けます.
- このプラットフォームは,最適化,ニューロモルフィック処理,およびアナログ人工知能のための超高速コンピューティングの新たな境界を開きます.
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