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  • Summary & Details

A Feasibility Study for Quantum Computing Methodologies in Automotive Advanced Material

量子コンピューティングの自動車材料デザインへの適用可能性

Detailed Information

Category(J)ホットトピックス

Translation

Category(E)Hot Topics
Author(J)1) 菅 義訓, 2) 高 翔, 3) 芝宮 徹, 4) 楊 天任
Author(E)1) Yoshinori Suga, 2) Sho Koh, 3) Toru Shibamiya, 4) Tennin Yan
Affiliation(J)1) トヨタ自動車, 2) QunaSys, 3) QunaSys, 4) QunaSys
Abstract(J)量子コンピューティング技術の将来的な自動車材料設計への適用可能性について,主に分子シミュレーションとの接点から論じる.電子状態予測の代表的なアルゴリズムであるVQE法によって得たポテンシャル関数を分子動力学シミュレーションに適用し,水素ストーレージ技術の候補である液体水素の気液平衡過程の再現を試みた.

Translation

Abstract(E)Regarding the calculation methodologies for future high performance computing (HPC) in variety of automotive research, quantum computing technologies are one of the promising candidate that could potentially instead conventional multi-core super computers. The functional material design, that idealize high performance electric vehicle or fuel cell electric vehicle, would be a suitable target for this novel HPC technologies. In this article, for the purpose of elucidating the practical possibility of quantum computer algorithms in future, we apply quantum gate simulations combining with classical molecular dynamics modelling to reproduce thermodynamic behavior of molecular composite materials. (Quantum gate simulator is as the exact simulator of quantum computer with no harmful quantum noise in limited small sized systems.) Liquid hydrogen, a potential candidate for hydrogen storage, are studied as the simplest case of this benchmark. Notable quantitative improvements of prediction performance in molecular dynamics modelling are obtained.

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