Steerability detection of an arbitrary two-qubit state via machine learning
Ren, Changliang2,3; Chen, Changbo1
刊名PHYSICAL REVIEW A
2019-08-12
卷号100期号:2页码:8
ISSN号2469-9926
DOI10.1103/PhysRevA.100.022314
通讯作者Ren, Changliang(renchangling@cigit.ac.cn)
英文摘要Quantum steering is an important nonclassical resource for quantum information processing. However, even though lots of steering criteria exist, it is still very difficult to efficiently determine whether an arbitrary two-qubit state shared by Alice and Bob is steerable or not, because the optimal measurement directions of Alice are unknown. In this work, we provide an efficient quantum steering detection scheme for an arbitrary two-qubit state with the help of machine learning, where Alice and Bob only need to measure in a few fixed measurement directions. In order to prove the validity of this method, we first realize a high-performance quantum steering classifier with the whole information. Furthermore, a high-performance quantum steering classifier with partial information is realized, where Alice and Bob only need to measure in three fixed measurement directions. Our method outperforms the existing methods in generic cases in terms of both speed and accuracy, opening up the avenues to explore quantum steering via the machine learning approach.
资助项目National Key Research and Development Program[2017YFA0305200] ; Youth Innovation Promotion Association (CAS)[2015317] ; National Natural Science Foundation of China[11771421] ; National Natural Science Foundation of China[61572024] ; National Natural Science Foundation of China[11671377] ; National Natural Science Foundation of China[11605205] ; Natural Science Foundation of Chongqing[cstc2018jcyjAX0656] ; Entrepreneurship and Innovation Support Program for Chongqing Overseas Returnees[cx2017134] ; Entrepreneurship and Innovation Support Program for Chongqing Overseas Returnees[cx2018040] ; CAS Key Laboratory of Microscale Magnetic Resonance ; CAS Key Laboratory of Quantum Information ; CAS Light of West China Program of Chongqing[cstc2018jcyj-yszxX0002] ; Key Research Program of Frontier Sciences of CAS[QYZDB-SSW-SYS026]
WOS研究方向Optics ; Physics
语种英语
出版者AMER PHYSICAL SOC
WOS记录号WOS:000480387400008
内容类型期刊论文
源URL[http://119.78.100.138/handle/2HOD01W0/9557]  
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.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing Key Lab Automated Reasoning & Cognit, Chongqing 400714, Peoples R China
2.Univ Sci & Technol China, CAS Key Lab Quantum Informat, Hefei 230026, Anhui, Peoples R China
3.Chinese Acad Sci, Ctr Nanofabricat & Syst Integrat, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China
推荐引用方式
GB/T 7714
Ren, Changliang,Chen, Changbo. Steerability detection of an arbitrary two-qubit state via machine learning[J]. PHYSICAL REVIEW A,2019,100(2):8.
APA Ren, Changliang,&Chen, Changbo.(2019).Steerability detection of an arbitrary two-qubit state via machine learning.PHYSICAL REVIEW A,100(2),8.
MLA Ren, Changliang,et al."Steerability detection of an arbitrary two-qubit state via machine learning".PHYSICAL REVIEW A 100.2(2019):8.
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