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Experimental measurement-device-independent quantum random-number generation

You-Qi Nie, Jian-Yu Guan, Hongyi Zhou, Qiang Zhang, Xiongfeng Ma, Jun Zhang, and Jian-Wei Pan
Phys. Rev. A 94, 060301(R) – Published 27 December 2016
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Abstract

The randomness from a quantum random-number generator (QRNG) relies on the accurate characterization of its devices. However, device imperfections and inaccurate characterizations can result in wrong entropy estimation and bias in practice, which highly affects the genuine randomness generation and may even induce the disappearance of quantum randomness in an extreme case. Here we experimentally demonstrate a measurement-device-independent (MDI) QRNG based on time-bin encoding to achieve certified quantum randomness even when the measurement devices are uncharacterized and untrusted. The MDI-QRNG is randomly switched between the regular randomness generation mode and a test mode, in which four quantum states are randomly prepared to perform measurement tomography in real time. With a clock rate of 25 MHz, the MDI-QRNG generates a final random bit rate of 5.7 kbps. Such implementation with an all-fiber setup provides an approach to construct a fully integrated MDI-QRNG with trusted but error-prone devices in practice.

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  • Received 4 November 2016

DOI:https://doi.org/10.1103/PhysRevA.94.060301

©2016 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & TechnologyAtomic, Molecular & Optical

Authors & Affiliations

You-Qi Nie1,2, Jian-Yu Guan1,2, Hongyi Zhou3, Qiang Zhang1,2, Xiongfeng Ma3,*, Jun Zhang1,2,†, and Jian-Wei Pan1,2

  • 1Hefei National Laboratory for Physical Sciences at the Microscale and Department of Modern Physics, University of Science and Technology of China, Hefei, Anhui 230026, China
  • 2CAS Center for Excellence and Synergetic Innovation Center in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, Anhui 230026, China
  • 3Center for Quantum Information, Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing 100084, China

  • *xma@tsinghua.edu.cn
  • zhangjun@ustc.edu.cn

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Issue

Vol. 94, Iss. 6 — December 2016

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