Experimental Simultaneous Learning of Multiple Nonclassical Correlations

Yang, Mu1,2; Ren, Chang-liang3; Ma, Yue-chi4,5,6; Xiao, Ya7; Ye, Xiang-Jun1,2; Song, Lu-Lu5,6,8; Xu, Jin-Shi1,2; Yung, Man Hong5,6,8,9; Li, Chuan-Feng1,2; Guo, Guang-Can1,2

2019-11-06

10.1103/PhysRevLett.123.190401

PHYSICAL REVIEW LETTERS   影响因子和分区

0031-9007

1079-7114

Nonclassical correlations can be regarded as resources for quantum information processing. However, the classification problem of nonclassical correlations for quantum states remains a challenge, even for finite-size systems. Although there exists a set of criteria for determining individual nonclassical correlations, a unified framework that is capable of simultaneously classifying multiple correlations is still missing. In this Letter, we experimentally explored the possibility of applying machine-learning methods for simultaneously identifying nonclassical correlations. Specifically, by using partial information, we applied an artificial neural network, support vector machine, and decision tree for learning entanglement, quantum steering, and nonlocality. Overall, we found that, for a family of quantum states, all three approaches can achieve high accuracy for the classification problem. Moreover, the run time of the machine-learning methods to output the state label is experimentally found to be significantly less than that of state tomography.

SCI ; EI

英语

NI论文

通讯

Economy, Trade and Information Commission of Shenzhen Municipality[201901161512]

Physics

Physics, Multidisciplinary

WOS:000495073200001

AMER PHYSICAL SOC

20194607691983

Decision trees ; Machine learning ; Neural networks ; Quantum entanglement ; Support vector machines

Computer Software, Data Handling and Applications:723 ; Quantum Theory; Quantum Mechanics:931.4 ; Systems Science:961

PHYSICS

Web of Science

1.Univ Sci & Technol China, CAS Key Lab Quantum Wormat, Hefei 230026, Anhui, Peoples R China
2.Univ Sci & Technol China, CAS Ctr Excellence Quantum Informat & Quantum Phy, Hefei 230026, Anhui, Peoples R China
3.Chinese Acad Sci, Ctr Nanofabricat & Syst Integrat, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China
4.Tsinghua Univ, Ctr Quantum Informat, Inst Interdisciplinary Informat Sci, Beijing 100084, Peoples R China
5.Southern Univ Sci & Technol, Shenzhen Inst Quantum Sci & Engn, Shenzhen 518055, Peoples R China
6.Southern Univ Sci & Technol, Dept Phys, Shenzhen 518055, Peoples R China
7.Ocean Univ China, Dept Phys, Qingdao 266100, Shandong, Peoples R China
8.Southern Univ Sci & Technol, Shenzhen Key Lab Quantum Sci & Engn, Shenzhen 518055, Peoples R China
9.Huawei Technol, Cent Res Inst, Shenzhen 518129, Peoples R China

Yang, Mu,Ren, Chang-liang,Ma, Yue-chi,et al. Experimental Simultaneous Learning of Multiple Nonclassical Correlations[J]. PHYSICAL REVIEW LETTERS,2019,123(19).

Yang, Mu.,Ren, Chang-liang.,Ma, Yue-chi.,Xiao, Ya.,Ye, Xiang-Jun.,...&Guo, Guang-Can.(2019).Experimental Simultaneous Learning of Multiple Nonclassical Correlations.PHYSICAL REVIEW LETTERS,123(19).

Yang, Mu,et al."Experimental Simultaneous Learning of Multiple Nonclassical Correlations".PHYSICAL REVIEW LETTERS 123.19(2019).