まとめ
超伝導プロセッサの 表面コードを使って 臨界値以下の量子エラーの 修正を実証します これは 論理的エラー率を抑制し キュービット寿命を延長することで 実践的な量子コンピューティングを 進歩させています
科学分野:
- 量子コンピューティング
- 量子エラー 修正
- 超伝導プロセッサ
背景:
- 量子エラーの修正は 量子コンピューティングの実用化に不可欠であり 論理量子ビットに 誤差を抑えることができます
- 指数関数的な誤差抑制には,臨界値以下の物理的な誤差率が必要です.
研究 の 目的:
- 新しい世代の超伝導プロセッサの表面コードを使用して,値以下量子エラーの修正を提示します.
- 距離7と距離5のコードの性能をリアルタイムでデコードする.
主な方法:
- ウィロウの超伝導プロセッサに2つの値下の表面コードメモリ (距離-7と距離-5) の実装.
- 距離5のコードをリアルタイムで解読する.
- 距離29までの繰り返しコードのテスト
主要な成果:
- 距離-7のコードは2.14 ±0.02の論理エラー率抑制因子を達成した.
- 101キビット距離-7のコードは,1サイクルあたり0.143%±0.003%のエラー率を示した.
- 論理記憶は物理量子ビットの寿命を 2.4 ± 0.3 倍に上回った.
- リアルタイムの解読は距離5で平均63マイクロ秒の遅延を達成しました.
- 距離29までの繰り返しコードは,珍しい相関エラーによって制限されました.
結論:
- 証明された量子記憶は ブレイクイーンを超えて 物理的な量子ビットの性能を上回ります
- スケール可能な量子コンピューティングに不可欠なリアルタイムデコーディングで 値以下のパフォーマンスを維持します
- 結果は,大規模の故障耐性量子アルゴリズムの実現の可能性を示しています.
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