Randomness Amplification
Randomness Amplification is a computational procedure in randomized computation that belongs to the class of randomness-enhancing techniques, specifically distinguished by its ability to transform a source of weak randomness into a nearly uniform distribution of random bits, thereby increasing the statistical quality of randomness available for algorithmic use.
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2017–2026
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Russell Impagliazzo, David Zuckerman · 1989 · 398 citations
Free randomness can be amplified
Roger Colbeck, Renato Renner · Nature Physics · 2012 · 387 citations · Full text
Genetic Algorithm Based on Natural Selection Theory for Optimization Problems
Musatafa Abbas Abbood Albadr, Sabrina Tiun, Masri Ayob et al. · Symmetry · 2020 · 279 citations · Full text
Security preserving amplification of hardness
Oded Goldreich, Russell Impagliazzo, Leonid A. Levin et al. · 2002 · 117 citations
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University of Gdańsk
Gdansk, Poland
7 h-index
20 publications
827 citations
National Quantum Information Centre in Gdansk
Sopot, Poland
4 h-index
9 publications
277 citations
Gdańsk University of Technology
Gdansk, Poland
4 h-index
4 publications
158 citations
Centre for Quantum Technologies
Singapore, Singapore
3 h-index
4 publications
264 citations
Institute of Mathematics
Warsaw, Poland
3 h-index
3 publications
130 citations
University of California, Berkeley
Berkeley, United States
3 h-index
3 publications
542 citations

University of Toronto
Toronto, Canada
3 h-index
3 publications
533 citations
University College London
London, United Kingdom
3 h-index
3 publications
127 citations
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Repository · 3 publications · 48 citations
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PRA · 3 publications · 91 citations
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PRA · 3 publications · 59 citations
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PRL · 2 publications · 67 citations
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2 publications · 99 citations
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