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Published May 13, 2016 | Submitted
Report Open

Quantum-Proof Extractors: Optimal up to Constant Factors

Abstract

We give the first construction of a family of quantum-proof extractors that has optimal seed length dependence O(log(n/ǫ)) on the input length n and error ǫ. Our extractors support any min-entropy k = Ω(log n + log1+α (1/ǫ)) and extract m = (1 − α)k bits that are ǫ-close to uniform, for any desired constant α > 0. Previous constructions had a quadratically worse seed length or were restricted to very large input min-entropy or very few output bits. Our result is based on a generic reduction showing that any strong classical condenser is automatically quantum-proof, with comparable parameters. The existence of such a reduction for extractors is a long-standing open question; here we give an affirmative answer for condensers. Once this reduction is established, to obtain our quantum-proof extractors one only needs to consider high entropy sources. We construct quantum-proof extractors with the desired parameters for such sources by extending a classical approach to extractor construction, based on the use of block-sources and sampling, to the quantum setting. Our extractors can be used to obtain improved protocols for device-independent randomness expansion and for privacy amplification.

Additional Information

We thank Yanlin Chen, Yi-Hsiu Chen, Anindya De, Andrew Drucker, Robert K¨onig, Ashwin Nayak, Salil Vadhan, and Nengkun Yu for helpful discussions. Part of the research was conducted when KC and XW were visiting the Institute for Quantum Computing, University of Waterloo and we thank IQC for its hospitality. Part of the research was conducted while XW was affiliated with the Simons Institute for the Theory of Computing, University of California, Berkeley and with the Center for Theoretical Physics, Massachusetts Institute of Technology. TV was partially supported by NSF CAREER Grant CCF-1553477, an AFOSR YIP award, and the IQIM, an NSF Physics Frontiers Center (NFS Grant PHY-1125565) with support of the Gordon and Betty Moore Foundation (GBMF-12500028).

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Created:
August 20, 2023
Modified:
October 18, 2023