Petabit-per-second Random Number Generation
Lin Jiang, Jihui Sun, Qiao Zhang, Jincheng Cui, Xiaohan Wang, Yanlan Xiao, Lin Sun, Hairong Lin, Haijun He, Jiacheng Feng, Anlin Yi, Jia Ye, Xihua Zou, Wei Pan, Gangxiang Shen, Heng Zhou, Lianshan Yan

TL;DR
This paper demonstrates a petabit-per-second parallel random number generator using chaotic microcombs and Rayleigh scattering, achieving unprecedented bit rates and scalability for high-speed randomness generation.
Contribution
It introduces a novel scheme combining intensity chaotic modulation and Rayleigh scattering to significantly enhance bandwidth and reduce correlation in microcomb-based RNGs.
Findings
Single-channel bit rate of 14.336 Tbit/s
Total bit rate of 1.032 Pbit/s over 72 channels
Correlation among channels suppressed to ~0.02
Abstract
Physical random number generators based on chaotic microcombs, with their complex nonlinear dynamics and multi-channel parallel capability, have attracted considerable research attention. However, key technical challenges for chaotic microcombs are the high correlation between symmetric teeth and the low bandwidth of single-channel teeth, which seriously affect the speed and scalability of random number generation. We experimentally demonstrate a petabit-per-second (Pbit/s) parallel random number generation system based on intensity chaotic modulation and Rayleigh scattering. Through intensity modulation, the effective bandwidth of the single-channel entropy source is increased from 440MHz to 27.6GHz. Crucially, Rayleigh scattering further contributes through the random superposition of backscattered light, which introduces unpredictable fluctuations in intensity, phase, and…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
