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Self-balanced real-time photonic scheme for ultrafast random number generation
oleh: Pu Li, Ya Guo, Yanqiang Guo, Yuanlong Fan, Xiaomin Guo, Xianglian Liu, K. Alan Shore, Elena Dubrova, Bingjie Xu, Yuncai Wang, Anbang Wang
| Format: | Article |
|---|---|
| Diterbitkan: | AIP Publishing LLC 2018-06-01 |
Deskripsi
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.