Trevisan's Extractor in the Presence of Quantum Side Information
Open accessAbstract
Randomness extraction involves the processing of purely classical information and is therefore usually studied with in the framework of classical probability theory. However, such a classical treatment is generally too restrictive for applications where side information about the values taken by classical random variables may be represented by the state of a quantum system. This is particularly relevant in the context of cryptography, where an adversary may make use of quantum devices. Here, we show that the well-known construction paradigm for extractors proposed by Trevisan is sound in the presence of quantum side information. We exploit the modularity of this paradigm to give several concrete extractor constructions, which, e.g., extract all the conditional (smooth) min-entropy of the source using a seed of length polylogarithmic in the input, or only require the seed to be weakly random.
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Trevisan's extractor has been proven to be secure against quantum adversaries.
“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 [99]
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References 38 · Cited by 161
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- Authors
- De, A., Portmann, C., Vidick, T., & Renner, R.
- Affiliations
- University of California, Berkeley (US)
- University of Geneva (CH)
- Massachusetts Institute of Technology (US)
- Venue
- SIAM Journal on Computing
- Published
- 2012-01
- Volume
- 41
- Issue
- 4
- Pages
- 915-940
- ISSN
- 0097-5397 (ISSN-L)
- 1095-7111
- OpenAlex
- W1508777461
- Cited by
- 161
- References
- 38
- Citations by year
- 2026: 4 · 2025: 10 · 2024: 4 · 2023: 9 · 2022: 7 · 2021: 10 · 2020: 14 · 2019: 33 · 2018: 3 · 2017: 6 · 2016: 11 · 2015: 4 · 2014: 13 · 2013: 10 · 2012: 9
- FWCI
- 11.34
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- SIAM Journal on Computing (publishedVersion)
- arXiv (Cornell University) (publishedVersion)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Information and Cryptography
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computability, Logic, AI Algorithms
- Physical Sciences › Computer Science › Artificial Intelligence › Cryptography and Data Security
- Keywords
- randomness extraction, quantum side information, conditional min-entropy, quantum cryptography
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