The Experts below are selected from a list of 318 Experts worldwide ranked by ideXlab platform
Nobuyuki Yoshikawa - One of the best experts on this subject based on the ideXlab platform.
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Demonstration of 30 Gbit/s Generation of Superconductive True Random Number Generator
IEEE Transactions on Applied Superconductivity, 2011Co-Authors: Tatsuro Sugiura, Yuki Yamanashi, Nobuyuki YoshikawaAbstract:True Random Number Generators, which output truly Random Numbers by extracting entropy from physical phenomena such as thermal and electronic noises, are widely used in the field of the cryptographic communication systems. We have been developing a superconductive true Random Number Generator that can generate truly Random Number sequences, impossible to be predicted, by utilizing the high-speed operation and high-sensitivity of superconductive integrated circuits. In this study, we have calculated the dependences of correlation of output Random bits on the generation rate. Statistical tests have been performed on the basis of the NIST statistical test suite in order to evaluate the quality of the Randomness of sequences generated by the superconductive true Random Number Generator at high generation rate. We have generated a Random Number sequence consisting of 3.2 M-bit at the generation rate of 30 Gbit/s using the superconductive true Random Number Generator, fabricated by the ISTEC-SRL 2.5 kA/cm2 Nb standard process. The generated Random Number sequences passed 13 kinds of the statistical tests in the NIST statistical test suit, although the 3 tests were not performed because of the shortage of the generated Random Numbers. The result sufficiently proves that a superconductive true Random Number Generator can generate a high quality of Random Numbers that can be used for practical cryptographic applications, at a generation rate of up to 30 Gbit/s.
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demonstration of 30 gbit s generation of superconductive true Random Number Generator
IEEE Transactions on Applied Superconductivity, 2011Co-Authors: Tatsuro Sugiura, Yuki Yamanashi, Nobuyuki YoshikawaAbstract:True Random Number Generators, which output truly Random Numbers by extracting entropy from physical phenomena such as thermal and electronic noises, are widely used in the field of the cryptographic communication systems. We have been developing a superconductive true Random Number Generator that can generate truly Random Number sequences, impossible to be predicted, by utilizing the high-speed operation and high-sensitivity of superconductive integrated circuits. In this study, we have calculated the dependences of correlation of output Random bits on the generation rate. Statistical tests have been performed on the basis of the NIST statistical test suite in order to evaluate the quality of the Randomness of sequences generated by the superconductive true Random Number Generator at high generation rate. We have generated a Random Number sequence consisting of 3.2 M-bit at the generation rate of 30 Gbit/s using the superconductive true Random Number Generator, fabricated by the ISTEC-SRL 2.5 kA/cm2 Nb standard process. The generated Random Number sequences passed 13 kinds of the statistical tests in the NIST statistical test suit, although the 3 tests were not performed because of the shortage of the generated Random Numbers. The result sufficiently proves that a superconductive true Random Number Generator can generate a high quality of Random Numbers that can be used for practical cryptographic applications, at a generation rate of up to 30 Gbit/s.
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Statistical evaluation of a superconductive physical Random Number Generator
IEICE Transactions on Electronics, 2010Co-Authors: Tatsuro Sugiura, Yuki Yamanashi, Nobuyuki YoshikawaAbstract:A physical Random Number Generator, which generates truly Random Number trains by using the Randomness of physical phenomena, is widely used in the field of cryptographic applications. We have developed an ultra high-speed superconductive physical Random Number Generator that can generate Random Numbers at a frequency of more than 10 GHz by utilizing the high-speed operation and high-sensitivity of superconductive integrated circuits. In this study, we have statistically evaluated the quality of the Random Number trains generated by the superconductive physical Random Number Generator. The performances of the statistical tests were based on a test method provided by National Institute of Standards and Technology (NIST). These statistical tests comprised several fundamental tests that were performed to evaluate the Random Number trains for their utilization in practical cryptographic applications. We have generated 230 Random Number trains consisting of 20,000-bits by using the superconductive physical Random Number Generator fabricated by the SRL 2.5 kA/cm 2 Nb standard process. The generated Random Number trains passed all the fundamental statistical tests. This result indicates that the superconductive Random Number Generator can be sufficiently utilized in practical applications.
Trevor Mudge - One of the best experts on this subject based on the ideXlab platform.
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True Random Number Generator With a Metastability-Based Quality Control
IEEE Journal of Solid-State Circuits, 2008Co-Authors: Carlos Tokunaga, David Blaauw, Trevor MudgeAbstract:We present a metastability-based true Random Number Generator that achieves high entropy and passes NIST Randomness tests. The Generator grades the probability of Randomness regardless of the output bit value by measuring the metastable resolution time. The system determines the original Random noise level at the time of metastability and tunes itself to achieve a high probability of Randomness. Dynamic control enables the system to respond to deterministic noise and a qualifier module grades the individual metastable events to produce a high-entropy Random bit-stream. The grading module allows the user to trade off output bit-rate with the quality of the bit-stream. A fully integrated true Random Number Generator was fabricated in a 0.13 mum bulk CMOS technology with an area of 0.145 mm2.
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ISSCC - True Random Number Generator with a Metastability-Based Quality Control
IEEE Journal of Solid-State Circuits, 2007Co-Authors: Carlos Tokunaga, David Blaauw, Trevor MudgeAbstract:We present a metastability-based true Random Number Generator that achieves high entropy and passes NIST Randomness tests. The Generator grades the probability of Randomness regardless of the output bit value by measuring the metastable resolution time. The system determines the original Random noise level at the time of metastability and tunes itself to achieve a high probability of Randomness. Dynamic control enables the system to respond to deterministic noise and a qualifier module grades the individual metastable events to produce a high-entropy Random bit-stream. The grading module allows the user to trade off output bit-rate with the quality of the bit-stream. A fully integrated true Random Number Generator was fabricated in a 0.13 mum bulk CMOS technology with an area of 0.145 mm2.
Alexander L Gaeta - One of the best experts on this subject based on the ideXlab platform.
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quantum Random Number Generator using a microresonator based kerr oscillator
Optics Letters, 2016Co-Authors: Yoshitomo Okawachi, Kevin Luke, Daniel O Carvalho, Michal Lipson, Alexander L GaetaAbstract:We demonstrate an all-optical quantum Random Number Generator using a dual-pumped degenerate optical parametric oscillator in a silicon nitride microresonator. The frequency-degenerate bi-phase state output is realized using parametric four-wave mixing in the normal group-velocity dispersion regime with two nondegenerate pumps. We achieve a Random Number generation rate of 2 MHz and verify the Randomness of our output using the National Institute of Standards and Technology Statistical Test Suite. The scheme offers potential for a chip-scale Random Number Generator with gigahertz generation rates and no postprocessing.
Zheng Shou-qi - One of the best experts on this subject based on the ideXlab platform.
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Study of Parallel Pseudo-Random Number Generator for Cluster
Computer Simulation, 2007Co-Authors: Zheng Shou-qiAbstract:The strategies for parallel pseudo-Random Number Generator were discussed. Combining the property of linear congruence Generator(LCG) with cluster master/ worker(m/w) computing model,a parallel pseudo-Random Number Generator,DLLCG(double level LCG) was designed. From theory analyzing and practical Monte Carlo simulation application,the DLLCG's quality was proved. It can be used in homogeneous and heterogeneous cluster.
Tatsuro Sugiura - One of the best experts on this subject based on the ideXlab platform.
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Demonstration of 30 Gbit/s Generation of Superconductive True Random Number Generator
IEEE Transactions on Applied Superconductivity, 2011Co-Authors: Tatsuro Sugiura, Yuki Yamanashi, Nobuyuki YoshikawaAbstract:True Random Number Generators, which output truly Random Numbers by extracting entropy from physical phenomena such as thermal and electronic noises, are widely used in the field of the cryptographic communication systems. We have been developing a superconductive true Random Number Generator that can generate truly Random Number sequences, impossible to be predicted, by utilizing the high-speed operation and high-sensitivity of superconductive integrated circuits. In this study, we have calculated the dependences of correlation of output Random bits on the generation rate. Statistical tests have been performed on the basis of the NIST statistical test suite in order to evaluate the quality of the Randomness of sequences generated by the superconductive true Random Number Generator at high generation rate. We have generated a Random Number sequence consisting of 3.2 M-bit at the generation rate of 30 Gbit/s using the superconductive true Random Number Generator, fabricated by the ISTEC-SRL 2.5 kA/cm2 Nb standard process. The generated Random Number sequences passed 13 kinds of the statistical tests in the NIST statistical test suit, although the 3 tests were not performed because of the shortage of the generated Random Numbers. The result sufficiently proves that a superconductive true Random Number Generator can generate a high quality of Random Numbers that can be used for practical cryptographic applications, at a generation rate of up to 30 Gbit/s.
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demonstration of 30 gbit s generation of superconductive true Random Number Generator
IEEE Transactions on Applied Superconductivity, 2011Co-Authors: Tatsuro Sugiura, Yuki Yamanashi, Nobuyuki YoshikawaAbstract:True Random Number Generators, which output truly Random Numbers by extracting entropy from physical phenomena such as thermal and electronic noises, are widely used in the field of the cryptographic communication systems. We have been developing a superconductive true Random Number Generator that can generate truly Random Number sequences, impossible to be predicted, by utilizing the high-speed operation and high-sensitivity of superconductive integrated circuits. In this study, we have calculated the dependences of correlation of output Random bits on the generation rate. Statistical tests have been performed on the basis of the NIST statistical test suite in order to evaluate the quality of the Randomness of sequences generated by the superconductive true Random Number Generator at high generation rate. We have generated a Random Number sequence consisting of 3.2 M-bit at the generation rate of 30 Gbit/s using the superconductive true Random Number Generator, fabricated by the ISTEC-SRL 2.5 kA/cm2 Nb standard process. The generated Random Number sequences passed 13 kinds of the statistical tests in the NIST statistical test suit, although the 3 tests were not performed because of the shortage of the generated Random Numbers. The result sufficiently proves that a superconductive true Random Number Generator can generate a high quality of Random Numbers that can be used for practical cryptographic applications, at a generation rate of up to 30 Gbit/s.
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Statistical evaluation of a superconductive physical Random Number Generator
IEICE Transactions on Electronics, 2010Co-Authors: Tatsuro Sugiura, Yuki Yamanashi, Nobuyuki YoshikawaAbstract:A physical Random Number Generator, which generates truly Random Number trains by using the Randomness of physical phenomena, is widely used in the field of cryptographic applications. We have developed an ultra high-speed superconductive physical Random Number Generator that can generate Random Numbers at a frequency of more than 10 GHz by utilizing the high-speed operation and high-sensitivity of superconductive integrated circuits. In this study, we have statistically evaluated the quality of the Random Number trains generated by the superconductive physical Random Number Generator. The performances of the statistical tests were based on a test method provided by National Institute of Standards and Technology (NIST). These statistical tests comprised several fundamental tests that were performed to evaluate the Random Number trains for their utilization in practical cryptographic applications. We have generated 230 Random Number trains consisting of 20,000-bits by using the superconductive physical Random Number Generator fabricated by the SRL 2.5 kA/cm 2 Nb standard process. The generated Random Number trains passed all the fundamental statistical tests. This result indicates that the superconductive Random Number Generator can be sufficiently utilized in practical applications.
