Literature DB >> 28708147

Real-time online photonic random number generation.

Pu Li, Jianguo Zhang, Luxiao Sang, Xianglian Liu, Yanqiang Guo, Xiaomin Guo, Anbang Wang, K Alan Shore, Yuncai Wang.   

Abstract

We present a real-time scheme for ultrafast random number (RN) extraction from a broadband photonic entropy source. Ultralow jitter mode-locked pulses are used to sample the stochastic intensity fluctuations of the entropy source in the optical domain. A discrete self-delay comparison technology is exploited to quantize the sampled pulses into continuous RN streams directly. This scheme is bias free, eliminates the electronic jitter bottleneck confronted by currently available physical RN generators, and has no need for threshold tuning and post-processing. To demonstrate its feasibility, we perform a proof-of-principle experiment using an optically injected chaotic laser diode. RN streams at up to 7  Gb/s with verified randomness were thereby successfully extracted in real time. With the provision of a photonic entropy source with sufficient bandwidth, the present approach is expected to provide RN generation rates of several tens of gigabits per second.

Entities:  

Year:  2017        PMID: 28708147     DOI: 10.1364/OL.42.002699

Source DB:  PubMed          Journal:  Opt Lett        ISSN: 0146-9592            Impact factor:   3.776


  2 in total

Review 1.  Generating randomness: making the most out of disordering a false order into a real one.

Authors:  Yaron Ilan
Journal:  J Transl Med       Date:  2019-02-18       Impact factor: 5.531

2.  Min-entropy estimation for semiconductor superlattice true random number generators.

Authors:  Jing Liu; Jianguo Xie; Lu Chao; Han Wu; Peng Ding; Xiaoming Chen; Huamin Feng
Journal:  Sci Rep       Date:  2022-02-22       Impact factor: 4.379

  2 in total

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