Pseudo-random number generation with -encoders

The [Formula: see text]-encoder is an analog circuit that converts an input signal [Formula: see text] into a finite bit stream [Formula: see text]. The bits [Formula: see text] are correlated and therefore are not immediately suitable for random number generation, but they can be used to generate b...

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Main Authors: Charlene Kalle, Evgeny Verbitskiy, Benthen Zeegers
Format: Article
Language:English
Published: World Scientific Publishing 2024-12-01
Series:International Journal of Mathematics for Industry
Subjects:
Online Access:https://www.worldscientific.com/doi/10.1142/S2661335224500266
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author Charlene Kalle
Evgeny Verbitskiy
Benthen Zeegers
author_facet Charlene Kalle
Evgeny Verbitskiy
Benthen Zeegers
author_sort Charlene Kalle
collection DOAJ
description The [Formula: see text]-encoder is an analog circuit that converts an input signal [Formula: see text] into a finite bit stream [Formula: see text]. The bits [Formula: see text] are correlated and therefore are not immediately suitable for random number generation, but they can be used to generate bits [Formula: see text] that are (nearly) uniformly distributed. In this paper, we study two such methods. In the first part the bits [Formula: see text] are defined as the digits of the base-2 representation of the original input x. Under the assumption that there is no noise in the amplifier we then study a question posed by Jitsumatsu and Matsumura on how many bits [Formula: see text] are needed to correctly determine the first n bits [Formula: see text]. In the second part, we show this method fails for random amplification factors. Nevertheless, even in this case, nearly uniformly distributed bits can still be generated from [Formula: see text] using modern cryptographic techniques.
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spelling doaj-art-855edb482fe94d66b04dcfec664a90a02025-01-31T06:15:28ZengWorld Scientific PublishingInternational Journal of Mathematics for Industry2661-33522661-33442024-12-01160110.1142/S2661335224500266Pseudo-random number generation with -encodersCharlene Kalle0Evgeny Verbitskiy1Benthen Zeegers2Mathematisch Instituut, Leiden University, Niels Bohrweg 1, 2333CA Leiden, The NetherlandsMathematisch Instituut, Leiden University, Niels Bohrweg 1, 2333CA Leiden, The NetherlandsMathematisch Instituut, Leiden University, Niels Bohrweg 1, 2333CA Leiden, The NetherlandsThe [Formula: see text]-encoder is an analog circuit that converts an input signal [Formula: see text] into a finite bit stream [Formula: see text]. The bits [Formula: see text] are correlated and therefore are not immediately suitable for random number generation, but they can be used to generate bits [Formula: see text] that are (nearly) uniformly distributed. In this paper, we study two such methods. In the first part the bits [Formula: see text] are defined as the digits of the base-2 representation of the original input x. Under the assumption that there is no noise in the amplifier we then study a question posed by Jitsumatsu and Matsumura on how many bits [Formula: see text] are needed to correctly determine the first n bits [Formula: see text]. In the second part, we show this method fails for random amplification factors. Nevertheless, even in this case, nearly uniformly distributed bits can still be generated from [Formula: see text] using modern cryptographic techniques.https://www.worldscientific.com/doi/10.1142/S2661335224500266-encoderbinary expansionsLochs’ Theoremrandom number generation
spellingShingle Charlene Kalle
Evgeny Verbitskiy
Benthen Zeegers
Pseudo-random number generation with -encoders
International Journal of Mathematics for Industry
-encoder
binary expansions
Lochs’ Theorem
random number generation
title Pseudo-random number generation with -encoders
title_full Pseudo-random number generation with -encoders
title_fullStr Pseudo-random number generation with -encoders
title_full_unstemmed Pseudo-random number generation with -encoders
title_short Pseudo-random number generation with -encoders
title_sort pseudo random number generation with encoders
topic -encoder
binary expansions
Lochs’ Theorem
random number generation
url https://www.worldscientific.com/doi/10.1142/S2661335224500266
work_keys_str_mv AT charlenekalle pseudorandomnumbergenerationwithencoders
AT evgenyverbitskiy pseudorandomnumbergenerationwithencoders
AT benthenzeegers pseudorandomnumbergenerationwithencoders