Parallel Fast Random Bit Generation Based on Spectrotemporally Uncorrelated Random Laser Comb

Author:

Pang Yuxi1ORCID,Ma Shaonian1,Ji Qiang1,Zhao Xian1,Qin Zengguang2,Liu Zhaojun2,Lu Ping3,Bao Xiaoyi4,Xu Yanping1ORCID

Affiliation:

1. Center for Optics Research and Engineering Key Laboratory of Laser and Infrared System of the Ministry of Education Shandong University Qingdao 266237 China

2. Key Laboratory of Laser and Infrared System of the Ministry of Education School of Information Science and Engineering Shandong University Qingdao 266237 China

3. National Research Council Canada 100 Sussex Drive Ottawa ON K1A 0R6 Canada

4. Physics Department University of Ottawa 25 Templeton Street Ottawa ON K1N 6N5 Canada

Abstract

AbstractCorrelations existing among spectral components in multi‐wavelength lasers have remained a fundamental constraint impeding their development as chaotic comb entropy sources for parallel random bit generation. Herein, spectrotemporally uncorrelated multi‐order Stokes/anti‐Stokes emissions are achieved by exploiting cascaded stimulated Brillouin scattering and quasi‐phase‐matched four‐wave mixing in a random fiber laser. The proposed configuration introduces random instabilities arising from random mode resonance while enabling disordered energy redistribution across different lasing lines, which thereby effectively eliminates the inherent correlation between multiple Stokes/anti‐Stokes emission lines, realizing a spectrotemporally uncorrelated chaotic frequency comb. Parallel fast random bit generation is fulfilled using 31 channels, with a single‐channel bit rate of 35‐Gbps and a total bit rate of 1.085‐Tbps. This work, in a simple and efficient way, breaks the spectrotemporally correlation barrier for utilizing a multi‐wavelength laser to achieve a high‐quality chaotic laser source, opening new avenues for achieving greatly accelerated random bit generation through parallelization and offering potential benefits for future developments in secure communication and high‐performance computing systems.

Funder

Natural Science Foundation of Qingdao Municipality

Taishan Scholar Foundation of Shandong Province

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Publisher

Wiley

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