Experimental measurement-dependent local Bell test with human free will

Yang Liu, Xiao Yuan, Cheng Wu, Weijun Zhang, Jian-Yu Guan, Jiaqiang Zhong, Hao Li, Ming-Han Li, Carlos Abellán, Morgan W. Mitchell, Sheng-Cai Shi, Jingyun Fan, Lixing You, Zhen Wang, Xiongfeng Ma, Qiang Zhang, and Jian-Wei Pan
Phys. Rev. A 99, 022115 – Published 15 February 2019

Abstract

A Bell test can rule out local realistic models and has potential applications in communication and information tasks. For example, a Bell's inequality violation can certify the presence of intrinsic randomness in measurement outcomes, which can be used to generate unpredictable random numbers. Nevertheless, a Bell test requires measurements that are chosen independently of environment in the test, as would be the case if the measurement setting choices were themselves intrinsically random. Such situation seems to create a “bootstrapping problem” recently addressed in the BIG Bell Test, a collection of various Bell tests using human choices. Here, we report in detail our experimental methods and results within the BIG Bell Test, specifically for a special type of Bell inequality, known as the measurement-dependent local inequality. With this inequality, even a small amount of measurement independence makes it possible to disprove local realistic models. The experiment utilizes human-generated random numbers in selecting the measurement settings and is implemented with space-like separation between two distant measurement sites. The experimental result violates a Bell's inequality, which cannot be explained by local hidden variable models with independence parameter (as defined in [G. Pütz et al., Phys. Rev. Lett. 113, 190402 (2014)]) l>0.10±0.05. This result further quantifies the degree to which a local hidden variable model would need to constrain human choices, if it is to reproduce the experimental results.

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  • Received 2 July 2018

DOI:https://doi.org/10.1103/PhysRevA.99.022115

©2019 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & Technology

Authors & Affiliations

Yang Liu1,2, Xiao Yuan1,2,3, Cheng Wu1,2, Weijun Zhang4, Jian-Yu Guan1,2, Jiaqiang Zhong5, Hao Li4, Ming-Han Li1,2, Carlos Abellán6, Morgan W. Mitchell6,7, Sheng-Cai Shi5, Jingyun Fan1,2, Lixing You4, Zhen Wang4, Xiongfeng Ma3, Qiang Zhang1,2, and Jian-Wei Pan1,2

  • 1Shanghai Branch, National Laboratory for Physical Sciences at Microscale and Department of Modern Physics, University of Science and Technology of China, Shanghai 201315, People's Republic of China
  • 2Shanghai Branch, CAS Center for Excellence and Synergetic Innovation Center in Quantum Information and Quantum Physics, University of Science and Technology of China, Shanghai 201315, People's Republic of China
  • 3Center for Quantum Information, Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing 100084, People's Republic of China
  • 4State Key Laboratory of Functional Materials for Informatics, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, People's Republic of China
  • 5Purple Mountain Observatory and Key Laboratory of Radio Astronomy, Chinese Academy of Sciences, 2 West Beijing Road, Nanjing, Jiangsu 210008, People's Republic of China
  • 6ICFO – Institut de Ciencies Fotoniques, The Barcelona Institute of Science and Technology, 08860 Castelldefels (Barcelona), Spain
  • 7ICREA – Institució Catalana de Recerca i Estudis Avançats, 08010 Barcelona, Spain

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Issue

Vol. 99, Iss. 2 — February 2019

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