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Self-balanced real-time photonic scheme for ultrafast random number generation

Authors :
Pu Li
Ya Guo
Yanqiang Guo
Yuanlong Fan
Xiaomin Guo
Xianglian Liu
K. Alan Shore
Elena Dubrova
Bingjie Xu
Yuncai Wang
Anbang Wang
Source :
APL Photonics, Vol 3, Iss 6, Pp 061301-061301-8 (2018)
Publication Year :
2018
Publisher :
AIP Publishing LLC, 2018.

Abstract

We propose a real-time self-balanced photonic method for extracting ultrafast random numbers from broadband randomness sources. In place of electronic analog-to-digital converters (ADCs), the balanced photo-detection technology is used to directly quantize optically sampled chaotic pulses into a continuous random number stream. Benefitting from ultrafast photo-detection, our method can efficiently eliminate the generation rate bottleneck from electronic ADCs which are required in nearly all the available fast physical random number generators. A proof-of-principle experiment demonstrates that using our approach 10 Gb/s real-time and statistically unbiased random numbers are successfully extracted from a bandwidth-enhanced chaotic source. The generation rate achieved experimentally here is being limited by the bandwidth of the chaotic source. The method described has the potential to attain a real-time rate of 100 Gb/s.

Details

Language :
English
ISSN :
23780967
Volume :
3
Issue :
6
Database :
Directory of Open Access Journals
Journal :
APL Photonics
Publication Type :
Academic Journal
Accession number :
edsdoj.2f71a3cca91c4fa8a53f17b77f73ab39
Document Type :
article
Full Text :
https://doi.org/10.1063/1.5029498