Literature DB >> 21164703

Fast physical random number generator using amplified spontaneous emission.

Caitlin R S Williams1, Julia C Salevan, Xiaowen Li, Rajarshi Roy, Thomas E Murphy.   

Abstract

We report a 12.5 Gb/s physical random number generator (RNG) that uses high-speed threshold detection of the spectrally-sliced incoherent light produced by a fiber amplifier. The system generates a large-amplitude, easily measured, fluctuating signal with bandwidth that is constrained only by the optical filter and electrical detector used. The underlying physical process (spontaneous emission) is inherently quantum mechanical in origin, and therefore cannot be described deterministically. Unlike competing optical RNG approaches that require photon counting electronics, chaotic laser cavities, or state-of-the-art analog-to-digital converters, the system employs only commonly available telecommunications-grade fiber optic components and can be scaled to higher speeds or multiplexed into parallel channels. The quality of the resulting random bitstream is verified using industry-standard statistical tests.

Year:  2010        PMID: 21164703     DOI: 10.1364/OE.18.023584

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  4 in total

1.  Harvesting entropy and quantifying the transition from noise to chaos in a photon-counting feedback loop.

Authors:  Aaron Morgan Hagerstrom; Thomas Edward Murphy; Rajarshi Roy
Journal:  Proc Natl Acad Sci U S A       Date:  2015-07-14       Impact factor: 11.205

2.  A Gaussian-Distributed Quantum Random Number Generator Using Vacuum Shot Noise.

Authors:  Min Huang; Ziyang Chen; Yichen Zhang; Hong Guo
Journal:  Entropy (Basel)       Date:  2020-06-02       Impact factor: 2.524

3.  Tighter bound of quantum randomness certification for independent-devices scenario.

Authors:  Xin-Wei Fei; Zhen-Qiang Yin; Wei Huang; Bing-Jie Xu; Shuang Wang; Wei Chen; Yun-Guang Han; Guang-Can Guo; Zheng-Fu Han
Journal:  Sci Rep       Date:  2017-11-07       Impact factor: 4.379

4.  Harnessing optoelectronic noises in a photonic generative network.

Authors:  Changming Wu; Xiaoxuan Yang; Heshan Yu; Ruoming Peng; Ichiro Takeuchi; Yiran Chen; Mo Li
Journal:  Sci Adv       Date:  2022-01-21       Impact factor: 14.136

  4 in total

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