Ultrahigh-Speed Random Number Generation Based on a Chaotic Semiconductor Laser
Abstract
The fluctuating intensity of a chaotic semiconductor laser is used for generating random sequences at rates up to 12.5 Gbits/s. The conversion of the fluctuating intensity to a random bit sequence can be implemented in either software or hardware and the overall rate of generation is much faster than any previously reported random number generator based on a physical mechanism. The generator's simplicity, robustness, and insensitivity to control parameters should enable its application to tasks of secure communication and calculation procedures requiring ultrahigh-speed generation of random bit sequences.
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Most studies of post-processing for ultrafast TRNGs are carried out offline.
“Thus, most studies of post-processing for ultrafast TRNGs are carried out offline [81].”
From True Random Number Generators Using Electrical Noise (2019) · cites this paper as [81]
Cites
Cryptography: Theory and Practice
Stinson, D. R. (1995) · Cited by 2,662 · see citing works
Deterministic chaos: An introduction
Schuster, H. G. (1984) · Wiley eBooks · doi:10.1002/3527604804 · Cited by 1,484 · see citing works
Cryptography: Theory and practice
(1995) · Computers & Mathematics with Applications · doi:10.1016/0898-1221(95)90225-2 · Cited by 1,367 · see citing works
A Simple Unpredictable Pseudo-Random Number Generator
Blum, L., Blum, M., & Shub, M. (1986) · SIAM Journal on Computing · doi:10.1137/0215025 · Cited by 1,036 · see citing works
Fast physical random bit generation with chaotic semiconductor lasers
Uchida, A., Amano, K., Inoue, M., Hirano, K., Naito, S., Someya, H., Oowada, I., Kurashige, T., Shiki, M., Yoshimori, S., et al. (2008) · Nature Photonics · doi:10.1038/nphoton.2008.227 · Cited by 1,024 · see citing works
Metropolis, N., & Ulam, S. M. (1949) · Journal of the American Statistical Association · doi:10.2307/2280232 · Cited by 769 · see citing works
Stochastic Simulation: Algorithms and Analysis
Asmussen, S., & Glynn, P. W. (2007) · Applications of mathematics · doi:10.1007/978-0-387-69033-9 · Cited by 749 · see citing works
Heil, T., Fischer, I., Elsäßer, W., et al. (2001) · Physical Review Letters · doi:10.1103/physrevlett.86.795 · Cited by 440 · see citing works
A fast and compact quantum random number generator
Jennewein, T., Achleitner, U., Weihs, G., Weinfurter, H., & Zeilinger, A. (2000) · Review of Scientific Instruments · doi:10.1063/1.1150518 · Cited by 434 · see citing works
DIEHARD : A battery of tests of randomness
Marsaglia, G. (1996) · Medical Entomology and Zoology · Cited by 341 · see citing works
A Fast and Compact Quantum Random Number GeneratorPreprint
Jennewein, T., Achleitner, U., Weihs, G., Weinfurter, H., & Zeilinger, A. (1999) · Cited by 291 · see citing works
A high speed, postprocessing free, quantum random number generator
Dynes, J. F., Yuan, Z. L., Sharpe, A. W., & Shields, A. J. (2008) · Applied Physics Letters · doi:10.1063/1.2961000 · Cited by 226 · see citing works
Optical Quantum Random Number Generator
Stefanov, A., Gisin, N., Guinnard, O., Guinnard, L., & Zbinden, H. (1999) · Archive ouverte UNIGE (University of Geneva) · Cited by 224 · see citing works
Hyperchaotic dynamics and synchronization of external-cavity semiconductor lasers
Ahlers, V., Parlitz, U., & Lauterborn, W. H. (1998) · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · doi:10.1103/physreve.58.7208 · Cited by 194 · see citing works
Sisyphus effect in semiconductor lasers with optical feedback
van Tartwijk, G. H. M., Levine, A. M., & Lenstra, D. (1995) · IEEE Journal of Selected Topics in Quantum Electronics · doi:10.1109/2944.401230 · Cited by 170 · see citing works
High-dimensional chaos in delayed dynamical systems
Lepri, S., Giacomelli, G., Politi, A., et al. (1994) · Physica D Nonlinear Phenomena · doi:10.1016/0167-2789(94)90016-7 · Cited by 106 · see citing works
Feedback-induced line broadening in cw channel-substrate planar laser diodes
Miles, R. O., Dandridge, A. D., Tveten, A. B., Taylor, H. F., & Giallorenzi, T. G. (1980) · Applied Physics Letters · doi:10.1063/1.91744 · Cited by 101 · see citing works
Murphy, T. E., & Roy, R. (2008) · Nature Photonics · doi:10.1038/nphoton.2008.239 · Cited by 65 · see citing works
Spiking optical patterns and synchronization
Rosenbluh, M., Aviad, Y., Cohen, E., et al. (2007) · Physical Review E · doi:10.1103/physreve.76.046207 · Cited by 26 · see citing works
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High-speed quantum random number generation by measuring phase noise of a single-mode laser
Qi, B., Chi, Y.-M., Lo, H.-K., & Qian, L. (2010) · Optics Letters · doi:10.1364/ol.35.000312 · Cited by 290 · see citing works
Postprocessing for quantum random-number generators: Entropy evaluation and randomness extraction
Ma, X., Xu, F., Xu, H., Tan, X., Qi, B., & Lo, H.-K. (2013) · Physical Review A · doi:10.1103/physreva.87.062327 · Cited by 241 · see citing works
Spin dice: A scalable truly random number generator based on spintronics
Fukushima, A., Seki, T., Yakushiji, K., Kubota, H., Imamura, H., Yuasa, S., & Ando, K. (2014) · Applied Physics Express · doi:10.7567/apex.7.083001 · Cited by 238 · see citing works
Fast physical random number generator using amplified spontaneous emission
Williams, C. R. S., Salevan, J. C., Li, X., Roy, R., & Murphy, T. E. (2010) · Optics Express · doi:10.1364/oe.18.023584 · Cited by 229 · see citing works
Ultrafast quantum random number generation based on quantum phase fluctuations
Xu, F., Qi, B., Ma, X., Xu, H., Zheng, H., & Lo, H.-K. (2012) · Optics Express · doi:10.1364/oe.20.012366 · Cited by 228 · see citing works
Zhang, R., de S.Cavalcante, H. L. D., Gao, Z., Gauthier, D. J., Socolar, J. E. S., Adams, M. M., & Lathrop, D. P. (2009) · Physical Review E · doi:10.1103/physreve.80.045202 · Cited by 79 · see citing works
True Random Number Generators Using Electrical Noise
Gong, L., Zhang, J., Liu, H., Sang, L., & Wang, Y. (2019) · IEEE Access · doi:10.1109/access.2019.2939027 · Cited by 77 · see citing works
“Thus, most studies of post-processing for ultrafast TRNGs are carried out offline [81].”
BackgroundRandomness generation based on spontaneous emissions of lasers
Zhou, H., Yuan, X., & Ma, X. (2015) · Physical Review A · doi:10.1103/physreva.91.062316 · Cited by 53 · see citing works
Solution-Processed Carbon Nanotube True Random Number Generator
Gaviria Rojas, W. A., McMorrow, J. J., Geier, M. L., Tang, Q., Kim, C. H., Marks, T. J., & Hersam, M. C. (2017) · Nano Letters · doi:10.1021/acs.nanolett.7b02118 · Cited by 48 · see citing works
DNA synthesis for true random number generation
Meiser, L. C., Koch, J., Antkowiak, P. L., Stark, W. J., Heckel, R., & Grass, R. N. (2020) · Nature Communications · doi:10.1038/s41467-020-19757-y · Cited by 45 · see citing works
- Authors
- Reidler, I., Aviad, Y., Rosenbluh, M., & Kanter, I.
- Affiliations
- Bar-Ilan University (IL)
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 2009-07-10
- Volume
- 103
- Issue
- 2
- Pages
- 024102-024102
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W2078537410
- Cited by
- 424
- References
- 19
- Citations by year
- 2026: 15 · 2025: 28 · 2024: 31 · 2023: 22 · 2022: 15 · 2021: 17 · 2020: 16 · 2019: 25 · 2018: 21 · 2017: 35 · 2016: 23 · 2015: 26 · 2014: 37 · 2013: 28 · 2012: 33
- FWCI
- 22.22
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Physical Review Letters (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Semiconductor Lasers and Optical Devices
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Chaos control and synchronization
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Chaos-based Image/Signal Encryption
- Keywords
- random number generation, chaotic semiconductor lasers, laser intensity fluctuations, hardware random number generator, secure communication, physical random number generators
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