The DOI matches its Crossref record; 47 of the 49 references it cites were found in a registry or an index.
Extractors and pseudorandom generators
Abstract
We introduce a new approach to constructing extractors. Extractors are algorithms that transform a “weakly random” distribution into an almost uniform distribution. Explicit constructions of extractors have a variety of important applications, and tend to be very difficult to obtain.We demonstrate an unsuspected connection between extractors and pseudorandom generators. In fact, we show that every pseudorandom generator of a certain kind is an extractor.A pseudorandom generator construction due to Impagliazzo and Wigderson, once reinterpreted via our connection, is already an extractor that beats most known constructions and solves an important open question. We also show that, using the simpler Nisan--Wigderson generator and standard error-correcting codes, one can build even better extractors with the additional advantage that both the construction and the analysis are simple and admit a short self-contained description.
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“Moreover, it is a strong extractor (its seed can be reused) and its seed length is the polylogarithmic function of the input.”
From Quantum random number generation (2016) · cites this paper as [97]
In the citing paper
“Trevisan ' s extractor 97,98 has been proven to be secure against quantum adversaries. 99”
From Quantum random number generation (2016) · cites this paper as [97]
Citations
Cites
Lecture Notes in Computer Science 1205
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Research works printed but not linked: 7
- ARVIND V., Proceedings of the 17th Conference on Foundations of Software Technology and Theoretical Computer Science, 235
- 10.5555/795662.796290 · DOI
- IMPAGLIAZZO R., 1998, Proceedings of the 39th IEEE Symposium on Foundations of Computer Science. IEEE Computer Society Press, Los Alamitos, Calif., 734
- 10.1145/301250.301428 · DOI
- NISAN N., 1996, Proceedings of the 11th IEEE Conference on Computational Complexity. IEEE Computer Society Press, Los Alamitos, Calif., 44
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- VON NEUMANN J., 1951, Various techniques used in connection with random digits. NBS, Appl. Math. Seri., 12, 36
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Sorted by citations
Computational Complexity: A Modern Approach
Arora, S., & Barak, B. (2009) · Cited by 2,374
The Physics of Quantum Information
(2000) · doi:10.1007/978-3-662-04209-0 · Cited by 1,086
Quantum random number generators
Herrero-Collantes, M., & García-Escartín, J. C. (2017) · Reviews of Modern Physics · doi:10.1103/revmodphys.89.015004 · Cited by 850
Detection-Loophole-Free Test of Quantum Nonlocality, and Applications
Christensen, B. G., McCusker, K. T., Altepeter, J. B., Calkins, B., Gerrits, T., Lita, A. E., Miller, A., Shalm, L. K., Zhang, Y., Nam, S. W., et al. (2013) · Physical Review Letters · doi:10.1103/physrevlett.111.130406 · Cited by 477
Quantum random number generation
Ma, X., Yuan, X., Cao, Z., Qi, B., & Zhang, Z. (2016) · npj Quantum Information · doi:10.1038/npjqi.2016.21 · Cited by 445
Metadata
- Authors
- Trevisan, L.
- Affiliations
- University of California, Berkeley (US)
- Corresponding author
- Luca Trevisan
- ORCID
- Luca Trevisan
- Venue
- Journal of the ACM
- Published
- 2001-07
- Volume
- 48
- Issue
- 4
- Pages
- 860-879
- ISSN
- 0004-5411 (ISSN-L)
- 1557-735X
- OpenAlex
- W1967175855
- Cited by
- 324
- References
- 49
- Citations by year
- 2026: 7 · 2025: 7 · 2024: 10 · 2023: 9 · 2022: 16 · 2021: 8 · 2020: 25 · 2019: 14 · 2018: 9 · 2017: 13 · 2016: 17 · 2015: 9 · 2014: 16 · 2013: 16 · 2012: 21
- FWCI
- 9.54
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of the ACM (publishedVersion)
- Archivio istituzionale della Ricerca - Bocconi (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computability, Logic, AI Algorithms
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Complexity and Algorithms in Graphs
- Physical Sciences › Mathematics › Discrete Mathematics and Combinatorics › Coding theory and cryptography
- Keywords
- extractors, pseudorandom generators, weak randomness, explicit constructions, error-correcting codes, randomness extraction, pseudorandomness
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