题名 | A parallel quantum eigensolver for quantum machine learning |
作者 | |
通讯作者 | Long, Guilu; Xin, Tao |
发表日期 | 2024-04-01
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DOI | |
发表期刊 | |
ISSN | 1367-2630
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卷号 | 26期号:4 |
摘要 | Eigensolvers have a wide range of applications in machine learning. Quantum eigensolvers have been developed for achieving quantum speedup. Here, we propose a parallel quantum eigensolver (PQE) for solving a set of machine learning problems, which is based on quantum multi-resonant transitions that simultaneously trigger multiple energy transitions in the systems on demand. PQE has a polylogarithmic cost in problem size under certain circumstances and is hardware efficient, such that it is implementable in near-term quantum computers. As a verification, we utilize it to construct a collaborative filtering quantum recommendation system and implement an experiment of the movie recommendation tasks on a nuclear spin quantum processor. As a result, our recommendation system accurately suggests movies to the user that he/she might be interested in. We further demonstrate the applications of PQE in classification and image completion. In the future, our work will shed light on more applications in quantum machine learning. |
关键词 | |
相关链接 | [来源记录] |
收录类别 | |
语种 | 英语
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学校署名 | 通讯
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资助项目 | Initiative Scientiyc Research Program, Beijing Advanced Innovation Center for Future Chip[2022B1515020074]
; Guangdong Basic and Applied Basic Research Foundation[12275117]
; National Natural Science Foundation of China[2019B121203002]
; Guangdong Provincial Key Laboratory[20230484345]
; Beijing Nova Program[KQTD20200820113010023]
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WOS研究方向 | Physics
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WOS类目 | Physics, Multidisciplinary
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WOS记录号 | WOS:001204916100001
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出版者 | |
ESI学科分类 | PHYSICS
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来源库 | Web of Science
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引用统计 | |
成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/788623 |
专题 | 量子科学与工程研究院 |
作者单位 | 1.Tsinghua Univ, Dept Phys, State Key Lab Low Dimens Quantum Phys, Beijing 100084, Peoples R China 2.Southern Univ Sci & Technol, Shenzhen Inst Quantum Sci & Engn, Shenzhen 518055, Peoples R China 3.Beijing Acad Quantum Informat Sci, Beijing 100193, Peoples R China 4.Southern Univ Sci & Technol, Guangdong Prov Key Lab Quantum Sci & Engn, Shenzhen 518055, Guangdong, Peoples R China 5.Xi An Jiao Tong Univ, Dept Appl Phys, Xian 710049, Peoples R China 6.Frontier Sci Ctr Quantum Informat, Beijing, Peoples R China 7.Beijing Natl Res Ctr Informat Sci & Technol, Beijing 100084, Peoples R China |
第一作者单位 | 量子科学与工程研究院 |
通讯作者单位 | 量子科学与工程研究院 |
推荐引用方式 GB/T 7714 |
Yang, Fan,Zhao, Dafa,Wei, Chao,et al. A parallel quantum eigensolver for quantum machine learning[J]. NEW JOURNAL OF PHYSICS,2024,26(4).
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APA |
Yang, Fan.,Zhao, Dafa.,Wei, Chao.,Chen, Xinyu.,Wei, Shijie.,...&Xin, Tao.(2024).A parallel quantum eigensolver for quantum machine learning.NEW JOURNAL OF PHYSICS,26(4).
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MLA |
Yang, Fan,et al."A parallel quantum eigensolver for quantum machine learning".NEW JOURNAL OF PHYSICS 26.4(2024).
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条目包含的文件 | 条目无相关文件。 |
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