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Bridging the Gap between Deep Learning and Frustrated Quantum Spin System for Extreme-Scale Simulations on New Generation of Sunway Supercomputer cover

2022Journal

量子计算Published

Bridging the Gap between Deep Learning and Frustrated Quantum Spin System for Extreme-Scale Simulations on New Generation of Sunway Supercomputer

Mingfan LiJunshi ChenQian XiaoFei WangQingcai JiangXuncheng ZhaoRongfen LinHong An
量子计算方向论文:Bridging the Gap between Deep Learning and Frustrated Quantum Spin Syste

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。

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完整论文信息Full record

title
Bridging the Gap between Deep Learning and Frustrated Quantum Spin System for Extreme-Scale Simulations on New Generation of Sunway Supercomputer
title_zh
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abstract
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abstract_zh
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keywords
HPC, Quantum, Distributed, 学位认定 A, CCF A
year
2022
published_date
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online_date
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paper_type
Journal
publication_status
Published
volume
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issue
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pages
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article_number
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publisher
IEEE
doi
10.1109/tpds.2022.3145163
research_area
量子计算
tags
HPC, Quantum, Distributed, 学位认定 A, CCF A
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
Mingfan Li, Junshi Chen, Qian Xiao, Fei Wang, Qingcai Jiang, Xuncheng Zhao, Rongfen Lin, Hong An
corresponding_authors
安虹
affiliations
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funding
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