Entanglement Detection by Violations of Noisy Uncertainty Relations: A Proof of Principle

Yuan-Yuan Zhao, Guo-Yong Xiang, Xiao-Min Hu, Bi-Heng Liu, Chuan-Feng Li, Guang-Can Guo, René Schwonnek, and Ramona Wolf
Phys. Rev. Lett. 122, 220401 – Published 7 June 2019
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Abstract

It is well known that the violation of a local uncertainty relation can be used as an indicator for the presence of entanglement. Unfortunately, the practical use of these nonlinear witnesses has been limited to few special cases in the past. However, new methods for computing uncertainty bounds have become available. Here we report on an experimental implementation of uncertainty-based entanglement witnesses, benchmarked in a regime dominated by strong local noise. We combine the new computational method with a local noise tomography in order to design noise-adapted entanglement witnesses. This proof-of-principle experiment shows that quantum noise can be successfully handled by a fully quantum model in order to enhance the ability to detect entanglement.

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  • Received 22 November 2018

DOI:https://doi.org/10.1103/PhysRevLett.122.220401

© 2019 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & TechnologyGeneral Physics

Authors & Affiliations

Yuan-Yuan Zhao1,2,3, Guo-Yong Xiang1,3,*, Xiao-Min Hu1,3, Bi-Heng Liu1,3,†, Chuan-Feng Li1,3, Guang-Can Guo1,3, René Schwonnek4,5,‡, and Ramona Wolf4,§

  • 1CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei 230026, People’s Republic of China
  • 2School of Physics and Astronomy, Sun Yat-Sen University, Zhuhai, Guangdong 519082, China
  • 3CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei 230026, People’s Republic of China
  • 4Institut für Theoretische Physik, Leibniz Universität Hannover, 30167, Hannover, Germany
  • 5Department of Electrical and Computer Engineering, National University of Singapore, 117583, Singapore

  • *gyxiang@ustc.edu.cn
  • bhliu@ustc.edu.cn
  • rene.schwonnek@itp.uni-hannover.de
  • §ramona.wolf@itp.uni-hannover.de

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Issue

Vol. 122, Iss. 22 — 7 June 2019

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