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arxiv: 2312.17011 · v1 · pith:YNIIOGJRnew · submitted 2023-12-28 · 🪐 quant-ph

Source-independent quantum random number generators with integrated silicon photonics

classification 🪐 quant-ph
keywords randomnumberquantumgeneratorsintegratedphotonicssi-qrngssilicon
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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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