量子计算

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

量子计算方向论文:Bridging the Gap between Deep Learning and Frustrated Quantum Spin Syste

HPCQuantumDistributed学位认定 ACCF A

分类与摘要

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。

引用

Mingfan Li†, Junshi Chen†, Qian Xiao, Fei Wang, Qingcai Jiang, Xuncheng Zhao, Rongfen Lin, Hong An∗, Xiao Liang∗ and Lixin He∗, Bridging the Gap between Deep Learning and Frustrated Quantum Spin System for Extreme-scale Simulations on New Generation of Sunway Supercomputer, IEEE Transactions on Parallel and Distributed Systems, 33(11):2846-2859,NOVEMBER 2022

@article{acsa2022_61,
  title = {Bridging the Gap between Deep Learning and Frustrated Quantum Spin System for Extreme-Scale Simulations on New Generation of Sunway Supercomputer},
  year = {2022},
  doi = {10.1109/tpds.2022.3145163}
}
title Bridging the Gap between Deep Learning and Frustrated Quantum Spin System for Extreme-Scale Simulations on New Generation of Sunway Supercomputer
title_zh 待补充
abstract 待补充
abstract_zh 待补充
keywords HPC, Quantum, Distributed, 学位认定 A, CCF A
year 2022
published_date 待补充
online_date 待补充
paper_type Journal
publication_status Published
volume 待补充
issue 待补充
pages 待补充
article_number 待补充
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 待补充
funding 待补充