An Ultra-fast Quantum Random Number Generation Scheme Based on Laser Phase Noise

• URL: http://arxiv.org/abs/2311.17380v1
• Date: Wed, 29 Nov 2023 06:15:51 GMT
• Title: An Ultra-fast Quantum Random Number Generation Scheme Based on Laser Phase Noise
• Authors: Jie Yang, Mei Wu, Yichen Zhang, Jinlu Liu, Fan Fan, Yang Li, Wei Huang, Heng Wang, Yan Pan, Qi Su, Yiming Bian, Haoyuan Jiang, Jiayi Dou, Song Yu, Bingjie Xu, Bin Luoand Hong Guo
• Abstract summary: A quantum random number generator based on the laser phase noise is generally limited in speed and implementation complexity. We present an insight to exploit the potential bandwidth of the quantum entropy source and experimentally boost the bandwidth of the corresponding quantum entropy source to 20 GHz. An ultra-fast generation rate of 218 Gbps is demonstrated, setting a new record for laser phase noise based schemes by one order of magnitude.
• Score: 21.674114520629555
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Based on the intrinsic random property of quantum mechanics, quantum random number generators allow for access of truly unpredictable random sequence and are now heading towards high performance and small miniaturization, among which a popular scheme is based on the laser phase noise. However, this scheme is generally limited in speed and implementation complexity, especially for chip integration. In this work, a general physical model based on wiener process for such schemes is introduced, which provides an approach to clearly explain the limitation on the generation rate and comprehensively optimize the system performance. We present an insight to exploit the potential bandwidth of the quantum entropy source that contains plentiful quantum randomness with a simple spectral filtering method and experimentally boost the bandwidth of the corresponding quantum entropy source to 20 GHz, based on which an ultra-fast generation rate of 218 Gbps is demonstrated, setting a new record for laser phase noise based schemes by one order of magnitude. Our proposal significantly enhances the ceiling speed of such schemes without requiring extra complex hardware, thus effectively benefits the corresponding chip integration with high performance and low implementation cost, which paves the way for its large-scale applications.

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