Matrix Is All You Need: Rearchitecting Quantum Chemistry to Scale on AI Accelerators

HanHaozhiLiKunJuFusongLiQi

量子计算方向论文：Matrix Is All You Need: Rearchitecting Quantum Chemistry to Scale on AI

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内容导读Reading note

分类与摘要Category & abstract

围绕量子计算实验与系统能力展开，适合作为量子方向的代表性成果入口。

Metadata

完整论文信息Full record

title: Matrix Is All You Need: Rearchitecting Quantum Chemistry to Scale on AI Accelerators
title_zh: 待补充
abstract: 待补充
abstract_zh: 待补充
keywords: Quantum
year: 2025
published_date: 待补充
online_date: 待补充
paper_type: Conference
publication_status: Published
volume: 待补充
issue: 待补充
pages: 待补充
article_number: 待补充
publisher: 待补充
doi: 10.1145/3712285.3759829
research_area: 量子计算
tags: Quantum
category: 量子计算
summary: 围绕量子计算实验与系统能力展开，适合作为量子方向的代表性成果入口。
authors: Han, Haozhi, Li, Kun, Ju, Fusong, Li, Qi
corresponding_authors: 待补充
affiliations: 待补充
funding: 待补充

Research area

量子计算

Citation

Han, Haozhi ;Li, Kun ;Ju, Fusong ;Li, Qi ;An, Hong ;Chen, Yifeng ;Zhang, Yunquan ;Cao, Ting ;Yang, Mao，Matrix Is All You Need: Rearchitecting Quantum Chemistry to Scale on AI Accelerators，Proceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis, SC 2025，St. Louis, MO, United states，November 16, 2025 - November 21, 2025，2126-2142

BibTeX

@article{acsa2025_5,
  title = {Matrix Is All You Need: Rearchitecting Quantum Chemistry to Scale on AI Accelerators},
  year = {2025},
  doi = {10.1145/3712285.3759829}
}