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

TL;DR
This paper introduces a simplified, high-speed quantum random number generator based on laser phase noise, achieving a record 218 Gbps rate through spectral filtering and system optimization, suitable for chip integration.
Contribution
The work provides a physical model and spectral filtering method to significantly boost the speed of laser phase noise-based QRNGs, enabling practical chip integration.
Findings
Achieved a 20 GHz bandwidth of quantum entropy source.
Demonstrated a 218 Gbps random number generation rate.
Set a new speed record for laser phase noise-based QRNGs.
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,…
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Taxonomy
TopicsChaos-based Image/Signal Encryption · Computational Physics and Python Applications · Fractal and DNA sequence analysis
