Noisy Channel Coding via Privacy Amplification and Information Reconciliation

  title={Noisy Channel Coding via Privacy Amplification and Information Reconciliation},
  author={Joseph M. Renes and Renato Renner},
  journal={IEEE Transactions on Information Theory},
We show that optimal protocols for noisy channel coding of public or private information over either classical or quantum channels can be directly constructed from two more primitive information-theoretic protocols: privacy amplification and information reconciliation, also known as data compression with side information. We do this in the one-shot scenario of structureless resources, and formulate our results in terms of the smooth min- and max-entropy. In the context of classical information… CONTINUE READING
Highly Cited
This paper has 65 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 35 extracted citations

65 Citations

Citations per Year
Semantic Scholar estimates that this publication has 65 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.

Similar Papers

Loading similar papers…