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Updated: Feb 22, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

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量子力学的な精度でダイアバティック・ポテンシャル・エネルギー・マトリクス構築: 神経ネットワークベースの Δ-機械学習アプローチ

Siting Hou1, Zejie Zhang1, Changjian Xie1

  • 1Institute of Modern Physics, Shaanxi Key Laboratory for Theoretical Physics Frontiers, Northwest University, Xi'an 710127, China.

Journal of chemical theory and computation
|February 20, 2026
PubMed
まとめ

新しいニューラルネットワーク (NN) ベースのデルタ機械学習 (Δ-ML) メソッドは,分子システムのためのグローバルな糖尿病潜在的なエネルギーマトリックス (PEM) を効率的に構築します. このアプローチは,複雑な化学反応と光解離過程において高い精度を維持しながら,計算コストを大幅に削減します.

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