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Activation of Einstein-Podolsky-Rosen steering sharing with unsharp nonlocal measurements.
Han, Xin-Hong; Qian, Tian; Dong, Shan-Chuan; Wang, Shuo; Xiao, Ya; Gu, Yong-Jian.
Affiliation
  • Han XH; College of Physics and Optoelectronic Engineering, Ocean University of China, Qingdao, 266100, People's Republic of China.
  • Qian T; College of Computer Science and Technology, Shandong University of Technology, Zibo, 255000, People's Republic of China.
  • Dong SC; College of Physics and Optoelectronic Engineering, Ocean University of China, Qingdao, 266100, People's Republic of China.
  • Wang S; College of Physics and Optoelectronic Engineering, Ocean University of China, Qingdao, 266100, People's Republic of China.
  • Xiao Y; China Ship Research and Development Academy, Beijing, 100101, People's Republic of China.
  • Gu YJ; College of Physics and Optoelectronic Engineering, Ocean University of China, Qingdao, 266100, People's Republic of China. xiaoya@ouc.edu.cn.
Sci Rep ; 14(1): 11462, 2024 May 20.
Article in En | MEDLINE | ID: mdl-38769348
ABSTRACT
Einstein-Podolsky-Rosen (EPR) steering is commonly shared among multiple observers by utilizing unsharp measurements. Nevertheless, their usage is restricted to local measurements and does not encompass all nonlocal measurement-based cases. In this work, a method for finding beneficial local measurement settings has been expanded to include nonlocal measurement cases. This method is applicable for any bipartite state and offers benefits even in scenarios with a high number of measurement settings. Using the Greenberger-Horne-Zeilinger state as an illustration, we show that employing unsharp nonlocal measurements can activate the phenomenon of steering sharing in contrast to using local measurements. Furthermore, our findings demonstrate that nonlocal measurements with unequal strength possess a greater activation capability compared to those with equal strength. Our activation method generates fresh concepts for conservation and recycling quantum resources.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sci Rep Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sci Rep Year: 2024 Document type: Article