Fast secure random number generation is essential for high-speed encrypted communication, and is the backbone of information security. Generation of truly random numbers depends on the intrinsic randomness of the process used and is usually limited by electronic bandwidth and signal processing data rates. Here we use a multiplexing scheme to create a fast quantum random number generator structurally tailored to encryption for distributed computing, and high bit-rate data transfer. We use vacuum fluctuations measured by seven homodyne detectors as quantum randomness sources, multiplexed using a single integrated optical device. We obtain a real-time random number generation rate of 3.08 Gbit/s, from only 27.5 MHz of sampled detector bandwidth. Furthermore, we take advantage of the multiplexed nature of our system to demonstrate an unseeded strong extractor with a generation rate of 26 Mbit/s.
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 W. H. Ware, in Proceedings of the Spring Joint Computer Conference (1967) pp. 279–282.
 P. Zhang, K. Aungskunsiri, E. Martín-López, J. Wabnig, M. Lobino, R. W. Nock, J. Munns, D. Bonneau, P. Jiang, H. W. Li, A. Laing, J. G. Rarity, A. O. Niskanen, M. G. Thompson, and J. L. O'Brien, Physical Review Letters 112, 130501 (2014).
 Debian, Debian - Security Information - DSA-1571-1 openssl, https://www.debian.org/security/2008/dsa-1571.
 K. Nohl, D. Evans, Starbug, and H. Plotz, in 17th USENIX Security Symposium (2008) pp. 185–193.
 S. Pironio, A. Acin, S. Massar, A. Boyer de la Giroday, D. N. Matsukevich, P. Maunz, S. Olmschenk, D. Hayes, L. Luo, T. A. Manning, and C. Monroe, Nature 464, 1021 (2010).
 A. Kulikov, M. Jerger, A. Potoc̆nik, A. Wallraff, and A. Fedorov, Physical Review Letters 119, 240501 (2017).
 Y. Liu, X. Yuan, M.-H. Li, W. Zhang, Q. Zhao, J. Zhong, Y. Cao, Y.-H. Li, L.-K. Chen, H. Li, T. Peng, Y.-A. Chen, C.-Z. Peng, S.-C. Shi, Z. Wang, L. You, X. Ma, J. Fan, Q. Zhang, and J.-W. Pan, Physical Review Letters 120, 010503 (2018).
 T. Lunghi, J. B. Brask, C. C. W. Lim, Q. Lavigne, J. Bowles, A. Martin, H. Zbinden, and N. Brunner, Physical Review Letters 114, 150501 (2015).
 D. G. Marangon, G. Vallone, and P. Villoresi, Physical Review Letters 118, 060503 (2017).
 M. Gräfe, R. Heilmann, A. Perez-Leija, R. Keil, F. Dreisow, M. Heinrich, H. Moya-Cessa, S. Nolte, D. N. Christodoulides, and A. Szameit, Nature Photonics 8, 791 (2014).
 J. Y. Haw, S. M. Assad, A. M. Lance, N. H. Y. Ng, V. Sharma, P. K. Lam, and T. Symul, Physical Review Applied 3, 054004 (2015).
 R. Kasher and J. Kempe, in Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques, Lecture Notes in Computer Science, Vol. 6302, pp. 656–669.
 D. G. Marangon, A. Plews, M. Lucamarini, J. F. Dynes, A. W. Sharpe, Z. Yuan, and A. J. Shields, Journal of Lightwave Technology 36, 3778 (2018).
 M. Sönmez Turan, E. Barker, J. Kelsey, M. Boyle, M. Kerry, and M. L. Baish, "Recommendation for the Entropy Sources Used for Random Bit Generation (Second DRAFT) NIST Special Publication 800-90B, National Institute of Standards and Technology (2016).
 M. Dworkin, Recommendation for Block Cipher Mode of Operation: The CMAC Mode for Authentication. NIST Special Publication 800-38B, National Institute of Standards and Technology (2005).
 Specification for the Advanced Encryption Standard ( AES ) FIPS 197, National Institute of Standards and Technology (2001).
 H. Hsing, AES :: Overview :: OpenCores, https://opencores.org/project/tiny_aes.
 A. Rukhin, J. Soto, J. Nechvatal, S. Miles, E. Barker, S. Leigh, M. Levenson, M. Vangel, D. Banks, A. Heckert, J. Dray, and S. Vo, A statistical test suite for random and pseudorandom number generators for cryptographic applications. NIST Special Publication 800-22 Rev. 1a, National Institute of Standards and Technology (2010).
 K. McKay and J. Kelsey, GitHub - usnistgov/SP800-90B _EntropyAssessment, https://github.com/usnistgov/SP800-90B_EntropyAssessment.
 A Prokhodtsov, V Kovalyuk, P An, A Golikov, R Shakhovoy, V Sharoglazova, A Udaltsov, Y Kurochkin, and G Goltsman, "Silicon nitride Mach-Zehnder interferometer for on-chip quantum random number generation", Journal of Physics: Conference Series 1695, 012118 (2020).
 Muhammad Imran, Vito Sorianello, Francesco Fresi, Bushra Jalil, Marco Romagnoli, and Luca Potì, "On-chip tunable SOI interferometer for quantum random number generation based on phase diffusion in lasers", Optics Communications 485, 126736 (2021).
 Fabio Cavaliere, Enrico Prati, Luca Poti, Imran Muhammad, and Tommaso Catuogno, "Secure Quantum Communication Technologies and Systems: From Labs to Markets", Quantum Reports 2 1, 80 (2020).
 P. R. Smith, D. G. Marangon, M. Lucamarini, Z. L. Yuan, and A. J. Shields, "Simple source device-independent continuous-variable quantum random number generator", Physical Review A 99 6, 062326 (2019).
 Qiang Zhang, Chihua Zhou, Junwei Meng, Feng Guo, and Hong Chang, "Parallel quantum random number generation based on spontaneous emission of alkaline earth", Applied Physics Express 13 1, 012015 (2020).
 Hongyi Zhou, Pei Zeng, Mohsen Razavi, and Xiongfeng Ma, "Randomness quantification of coherent detection", Physical Review A 98 4, 042321 (2018).
 Francesco Raffaelli, Philip Sibson, Jake E. Kennard, Dylan H. Mahler, Mark G. Thompson, and Jonathan C. F. Matthews, "A SOI Integrated Quantum Random Number Generator Based on Phase fluctuations from a Laser Diode", arXiv:1804.05046.
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