Entanglement structure detection via machine learning
文献类型:期刊论文
作者 | Chen, Changbo3; Ren, Changliang2,4,5![]() |
刊名 | QUANTUM SCIENCE AND TECHNOLOGY
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出版日期 | 2021-07-01 |
卷号 | 6期号:3页码:8 |
关键词 | entanglement structure machine learning multipartite entanglement correct predictions |
ISSN号 | 2058-9565 |
DOI | 10.1088/2058-9565/ac0a3e |
通讯作者 | Ren, Changliang(renchangliang@hunnu.edu.cn) |
英文摘要 | Detecting the entanglement structure, such as intactness and depth, of an n-qubit state is important for understanding the imperfectness of the state preparation in experiments. However, identifying such structure usually requires an exponential number of local measurements. In this letter, we propose an efficient machine learning based approach for predicting the entanglement intactness and depth simultaneously. The generalization ability of this classifier has been convincingly proved, as it can precisely distinguish the whole range of pure generalized Greenberger-Horne-Zeilinger (GHZ) states which never exist in the training process. In particular, the learned classifier can discover the entanglement intactness and depth bounds for the noised GHZ state, for which the exact bounds are only partially known. |
资助项目 | NSFC[11771421] ; NSFC[12075245] ; National Key Research and Development Program[2017YFA0305200] ; National Key Research and Development Program[2020YFA0712300] ; CAS Light of West China Program ; CAS Chongqing Programs[cstc2018jcyj-yszxX0002] ; CAS Chongqing Programs[cstc2019yszx-jcyjX0003] ; CAS Chongqing Programs[cstc2020yszx-jcyjX0005] |
WOS研究方向 | Physics |
语种 | 英语 |
WOS记录号 | WOS:000684705300001 |
出版者 | IOP PUBLISHING LTD |
源URL | [http://119.78.100.138/handle/2HOD01W0/13879] ![]() |
专题 | 中国科学院重庆绿色智能技术研究院 |
通讯作者 | Ren, Changliang |
作者单位 | 1.Shandong Univ, Sch Phys, Jinan 250100, Peoples R China 2.Chinese Acad Sci, Ctr Nanofabricat & Syst Integrat, Chongqing Inst Green & Intelligent Technol, Beijing, Peoples R China 3.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing Key Lab Automated Reasoning & Cognit, Chongqing 400714, Peoples R China 4.Hunan Normal Univ, Key Lab Low Dimens Quantum Struct & Quantum Contr, Key Lab Matter Microstruct & Funct Hunan Prov, Dept Phys,Minist Educ, Changsha 410081, Peoples R China 5.Hunan Normal Univ, Synerget Innovat Ctr Quantum Effects & Applicat, Changsha 410081, Peoples R China |
推荐引用方式 GB/T 7714 | Chen, Changbo,Ren, Changliang,Lin, Hongqing,et al. Entanglement structure detection via machine learning[J]. QUANTUM SCIENCE AND TECHNOLOGY,2021,6(3):8. |
APA | Chen, Changbo,Ren, Changliang,Lin, Hongqing,&Lu, He.(2021).Entanglement structure detection via machine learning.QUANTUM SCIENCE AND TECHNOLOGY,6(3),8. |
MLA | Chen, Changbo,et al."Entanglement structure detection via machine learning".QUANTUM SCIENCE AND TECHNOLOGY 6.3(2021):8. |
入库方式: OAI收割
来源:重庆绿色智能技术研究院
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