Source-independent quantum random number generators with integrated silicon photonics

2023/12/28 by Yongqiang Du, Du, Yongqiang, Zhengeng Zhao +10 · 1 citation
Computer Science · Engineering · #Chaos-based Image/Signal Encryption #Image Processing Techniques and Applications #Digital Media Forensic Detection

paper · pdf · doi:10.48550/arxiv.2312.17011

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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