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Updated: Sep 10, 2025

Rendering SiO2/Si Surfaces Omniphobic by Carving Gas-Entrapping Microtextures Comprising Reentrant and Doubly Reentrant Cavities or Pillars
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Rendering SiO2/Si Surfaces Omniphobic by Carving Gas-Entrapping Microtextures Comprising Reentrant and Doubly Reentrant Cavities or Pillars

Published on: February 11, 2020

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表面 コード を 設計 する 量子 魔法 石

Avimita Chatterjee1, Debarshi Kundu1, Swaroop Ghosh2

  • 1Department of Computer Science & Engineering, The Pennsylvania State University, State College, PA 16801, USA.

Entropy (Basel, Switzerland)
|August 28, 2025
PubMed
まとめ

量子エラー補正 (QEC) を最適化するには,効率的なパラメータチューニングが必要です. 新しいリバースエンジニアリングツールであるMITSは,最適のQEC設定を自動的に見つけ,量子コンピューティングのリソース使用を最小限にします.

キーワード:
距離論理エラー率機械学習物理的なエラー率量子エラー修正コードラウンド表面コード限界値

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