Sampling of min-entropy relative to quantum knowledge
Robert Koenig, Renato Renner

TL;DR
This paper extends classical min-entropy sampling results to quantum settings, demonstrating that randomness extraction remains secure against quantum adversaries, which has significant implications for quantum cryptography.
Contribution
It proves that classical min-entropy sampling bounds hold even when conditioned on quantum side information, ensuring security of key agreement protocols against quantum attacks.
Findings
Min-entropy of sampled data is close to a fraction of total min-entropy even with quantum side information.
Sample-and-hash key agreement protocol remains secure against quantum adversaries.
Addresses a long-standing open problem in quantum cryptography security.
Abstract
Let X_1, ..., X_n be a sequence of n classical random variables and consider a sample of r positions selected at random. Then, except with (exponentially in r) small probability, the min-entropy of the sample is not smaller than, roughly, a fraction r/n of the total min-entropy of all positions X_1, ..., X_n, which is optimal. Here, we show that this statement, originally proven by Vadhan [LNCS, vol. 2729, Springer, 2003] for the purely classical case, is still true if the min-entropy is measured relative to a quantum system. Because min-entropy quantifies the amount of randomness that can be extracted from a given random variable, our result can be used to prove the soundness of locally computable extractors in a context where side information might be quantum-mechanical. In particular, it implies that key agreement in the bounded-storage model (using a standard sample-and-hash…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
