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Source-independent quantum random number generators with integrated silicon photonics

Yongqiang Du, Xin Hua, Zhengeng Zhao, Xiaoran Sun, Zhenrong Zhang, Xi Xiao, Kejin Wei

2025Communications Physics12 citationsDOIOpen Access PDF

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 demonstrates significant promise for QRNG due to its benefits in miniaturization, cost-effective device manufacturing, and compatibility with CMOS microelectronics. This study experimentally demonstrates a silicon-based discrete variable SI-QRNG. Our SI-QRNG system achieves a low error rate of only 0.21%, thanks to the inherent stability of the silicon-based decoder chip and its excellent polarization extinction ratio. Additionally, by using a laser with a higher repetition rate and a robust simulation model, we achieve the highest quantum random number generation rate of 9.49 Mbits per second. Our research paves the way for integrated SI-QRNGs, providing a cost-effective and robust secure QRNG module for next-generation communications. Source-independent quantum random number generators (SI-QRNGs), leveraging the intrinsic randomness of quantum physics, generate secure random sequences without relying on trusted sources. In this study, the authors developed a cost-effective SI-QRNG based on a silicon photonic integrated platform, capable of achieving a maximum generation rate of 9.49 Mbps.

Topics & Concepts

PhotonicsSilicon photonicsQuantumOptoelectronicsComputer sciencePhysicsQuantum mechanicsQuantum Computing Algorithms and ArchitectureQuantum Information and CryptographyQuantum Mechanics and Applications