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Proceedings Paper

A novel quantum random number generation algorithm used by smartphone camera
Author(s): Nan Wu; Kun Wang; Haixing Hu; Fangmin Song; Xiangdong Li
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Paper Abstract

We study an efficient algorithm to extract quantum random numbers (QRN) from the raw data obtained by charge-coupled device (CCD) or complementary metal-oxide semiconductor (CMOS) based sensors, like a camera used in a commercial smartphone. Based on NIST statistical test for random number generators, the proposed algorithm has a high QRN generation rate and high statistical randomness. This algorithm provides a kind of simple, low-priced and reliable devices as a QRN generator for quantum key distribution (QKD) or other cryptographic applications.

Paper Details

Date Published: 21 May 2015
PDF: 6 pages
Proc. SPIE 9500, Quantum Information and Computation XIII, 95001H (21 May 2015); doi: 10.1117/12.2183338
Show Author Affiliations
Nan Wu, Nanjing Univ. (China)
Kun Wang, Nanjing Univ. (China)
Haixing Hu, Nanjing Univ. (China)
Fangmin Song, Nanjing Univ. (China)
Xiangdong Li, New York City College of Technology (United States)

Published in SPIE Proceedings Vol. 9500:
Quantum Information and Computation XIII
Eric Donkor; Andrew R. Pirich; Michael Hayduk, Editor(s)

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