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Generation of 1 Gb full entropy random numbers with the enhanced-NRBG method

arXiv
Authors: Deepika Aggarwal, Karthick Balaji R, Rohit Ghatikar, Sruthi Chennuri, Anindita Banerjee

Year

2021

Paper ID

62491

Status

Preprint

Abstract Read

~2 min

Abstract Words

123

Citations

N/A

Abstract

Random numbers have significant applications in fundamental science, high-level scientific research, cryptography, and several other areas where there is a pressing need for high-quality random numbers. We present an experimental demonstration of a non-deterministic random bit generator from a quantum entropy source and a deterministic random bit generator mechanism to provide high quality random numbers providing a throughput of 1 Gb. Quantum entropy is realized by a series of quantum chips based on radioactive isotope Americium-241. The extracted raw random numbers are further post-processed to generate a high-entropy seed for the hash based deterministic random bit generator. We discuss the implementation of randomness extraction algorithm and Hash-DRBG algorithm in detail. The random numbers pass all randomness measures provided in ENT and NIST test suites.

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  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
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  • Random numbers have significant applications in fundamental science, high-level scientific research, cryptography, and several other areas where there is a pressing need for...

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