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

Pu Li, Ya Guo, Yanqiang Guo, Yuanlong Fan, Xiaomin Guo, Xianglian Liu, K. Alan Shore, Elena Dubrova, Bingjie Xu, Yuncai Wang, Anbang Wang

    Research output: Contribution to journalArticlepeer-review


    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.
    Original languageEnglish
    Article number061301
    JournalAPL Photonics
    Issue number6
    Publication statusPublished - 30 May 2018


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