Source-independent quantum random number generators with integrated silicon photonics
Yongqiang Du, Xin Hua, Zhengeng Zhao, Xiaoran Sun, Zhenrong Zhang, Xi, Xiao, Kejin Wei

TL;DR
This paper demonstrates a silicon photonics-based source-independent quantum random number generator achieving a record rate of 7.9 Mbits/s, advancing integrated quantum randomness generation for practical applications.
Contribution
The first experimental demonstration of a silicon-based discrete variable source-independent QRNG with high-speed performance and optimized parameters.
Findings
Achieved a random number generation rate of 7.9 Mbits/s.
Validated the effectiveness of silicon photonics for SI-QRNG.
Paved the way for integrated, practical quantum random number generators.
Abstract
Random numbers play a crucial role in numerous scientific applications. Source-independent quantum random number generators (SI-QRNGs) can offer true randomness by leveraging the fundamental principles of quantum mechanics, eliminating the need for a trusted source. Silicon photonics shows great promise for QRNG due to its benefits in miniaturization, cost-effective device manufacturing, and compatibility with CMOS microelectronics. In this study, we experimentally demonstrate a silicon-based discrete variable SI-QRNG. Using a well-calibrated chip and an optimized parameter strategy, we achieve a record-breaking random number generation rate of 7.9 Mbits/s. Our research paves the way for integrated SI-QRNGs.
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Taxonomy
TopicsChaos-based Image/Signal Encryption · Image Processing Techniques and Applications · Digital Media Forensic Detection
