タイム・ドメイン・マルチプレックスの二次元クラスター状態の生成

Warit Asavanant¹, Yu Shiozawa¹, Shota Yokoyama²

¹Department of Applied Physics, School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan.

Science (New York, N.Y.)

|October 19, 2019

まとめ

量子コンピューティングの重要な要素である 2次元連続変数クラスター状態を作成しましたこの進歩によりボゾンモードを用いたより強力で欠陥耐性の高い量子計算が可能になります

科学分野:

量子情報科学
量子コンピューティング
量子光学

背景:

クラスター状態に保存された測定ベースの量子コンピューティングには絡み合いが不可欠です
ユニバーサル量子コンピューティングは大規模で二次元的なクラスター状態を要求します
以前の取り組みでは,大きな1次元連続変数クラスター状態が生成されましたが,2次元ではありません.

研究の目的:

大規模な二次元連続変数クラスター状態を生成します.
ボゾンモードによる測定ベースの量子コンピューティングの実践的な実装を可能にします.

主な方法:

連続変数のクラスター状態の5x1240サイトの正方形の格子を生成する.
非常にスケーラブルな時間複合実験プラットフォームを使用しました.
実験的に格子構造を調整した

主要な成果:

大規模な二次元連続変数クラスター状態を作成しました
生成された状態はボゾンエラー修正コードと互換性がある.

結論:

この研究は,量子コンピューティングのための大規模な2Dクラスター状態の実現可能性を示しています.
生成された状態は,圧縮が増加すると, 容認性量子計算が可能になります.
ボゾンモードを用いたスケーラブルな量子コンピューティングプラットフォームを進めている.

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