Massively parallel ultrafast random bit generation with a chip-scale laser
Random numbers are widely used for information security, cryptography, stochastic modeling, and quantum simulations. Key technical challenges for physical random number generation are speed and scalability. We demonstrate a method for ultrafast generation of hundreds of random bit streams in paralle...
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sg-ntu-dr.10356-1478502021-09-13T08:47:12Z Massively parallel ultrafast random bit generation with a chip-scale laser Kim, Kyungduk Bittner, Stefan Zeng, Yongquan Guazzotti, Stefano Hess, Ortwin Wang, Qi Jie Cao, Hui School of Electrical and Electronic Engineering School of Physical and Mathematical Sciences Department of Applied Physics, Yale University, New Haven, CT 06520, USA 2Chair in Photonics, LMOPS EA-4423 Laboratory, CentraleSupélec and Université de Lorraine, Metz 57070, France Center for OptoElectronics and Biophotonics The Photonics Institute Science::Physics::Optics and light Engineering::Electrical and electronic engineering::Optics, optoelectronics, photonics Cryptography Stochastic Modeling Random numbers are widely used for information security, cryptography, stochastic modeling, and quantum simulations. Key technical challenges for physical random number generation are speed and scalability. We demonstrate a method for ultrafast generation of hundreds of random bit streams in parallel with a single laser diode. Spatiotemporal interference of many lasing modes in a specially designed cavity is introduced as a scheme for greatly accelerated random bit generation. Spontaneous emission, caused by quantum fluctuations, produces stochastic noise that makes the bit streams unpredictable. We achieve a total bit rate of 250 terabits per second with off-line postprocessing, which is more than two orders of magnitude higher than the current postprocessing record. Our approach is robust, compact, and energy-efficient, with potential applications in secure communication and high-performance computation. National Research Foundation (NRF) Accepted version H.C. and K.K. thank R. Roy and M. Sciamanna for stimulating discussions. We acknowledge the computational resources provided by the Yale High Performance Computing Cluster (Yale HPC). Funding: Supported by NSF grant ECCS-1953959; Office of Naval Research grant N00014-21-1-2026; National Research Foundation Competitive Research Program grants NRF-CRP-18- 2017-02 and NRF-CRP-19-2017-01 and A*Star AME programmatic grant A18A7b0058 for the work at Nanyang Technological University; and Science Foundation Ireland grant 18/RP/6236. 2021-04-15T09:20:13Z 2021-04-15T09:20:13Z 2021 Journal Article Kim, K., Bittner, S., Zeng, Y., Guazzotti, S., Hess, O., Wang, Q. J. & Cao, H. (2021). Massively parallel ultrafast random bit generation with a chip-scale laser. Science, 371(6532), 948-952-952. https://dx.doi.org/10.1126/science.abc2666 0036-8075 https://hdl.handle.net/10356/147850 10.1126/science.abc2666 33632847 2-s2.0-85101799133 6532 371 948-952 952 en NSF grant ECCS-1953959 Office of Naval Research grant N00014-21-1-2026 National Research Foundation Competitive Research Program grants NRF-CRP-18- 2017-02 NRF-CRP-19-2017-01 A*Star AME programmatic grant A18A7b0058 Science Foundation Ireland grant 18/RP/6236 Science © 2021 The Author(s). Published by American Association for the Advancement of Science (AAAS). All rights reserved. This paper was published in Science and is made available with permission of The Author(s). Published by American Association for the Advancement of Science (AAAS). application/pdf |
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Science::Physics::Optics and light Engineering::Electrical and electronic engineering::Optics, optoelectronics, photonics Cryptography Stochastic Modeling Kim, Kyungduk Bittner, Stefan Zeng, Yongquan Guazzotti, Stefano Hess, Ortwin Wang, Qi Jie Cao, Hui Massively parallel ultrafast random bit generation with a chip-scale laser |
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Random numbers are widely used for information security, cryptography, stochastic modeling, and quantum simulations. Key technical challenges for physical random number generation are speed and scalability. We demonstrate a method for ultrafast generation of hundreds of random bit streams in parallel with a single laser diode. Spatiotemporal interference of many lasing modes in a specially designed cavity is introduced as a scheme for greatly accelerated random bit generation. Spontaneous emission, caused by quantum fluctuations, produces stochastic noise that makes the bit streams unpredictable. We achieve a total bit rate of 250 terabits per second with off-line postprocessing, which is more than two orders of magnitude higher than the current postprocessing record. Our approach is robust, compact, and energy-efficient, with potential applications in secure communication and high-performance computation. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Kim, Kyungduk Bittner, Stefan Zeng, Yongquan Guazzotti, Stefano Hess, Ortwin Wang, Qi Jie Cao, Hui |
format |
Article |
author |
Kim, Kyungduk Bittner, Stefan Zeng, Yongquan Guazzotti, Stefano Hess, Ortwin Wang, Qi Jie Cao, Hui |
author_sort |
Kim, Kyungduk |
title |
Massively parallel ultrafast random bit generation with a chip-scale laser |
title_short |
Massively parallel ultrafast random bit generation with a chip-scale laser |
title_full |
Massively parallel ultrafast random bit generation with a chip-scale laser |
title_fullStr |
Massively parallel ultrafast random bit generation with a chip-scale laser |
title_full_unstemmed |
Massively parallel ultrafast random bit generation with a chip-scale laser |
title_sort |
massively parallel ultrafast random bit generation with a chip-scale laser |
publishDate |
2021 |
url |
https://hdl.handle.net/10356/147850 |
_version_ |
1712300640873480192 |