Noisy Channel Coding via Privacy Amplification and Information Reconciliation

@article{Renes2011NoisyCC,
  title={Noisy Channel Coding via Privacy Amplification and Information Reconciliation},
  author={Joseph M. Renes and Renato Renner},
  journal={IEEE Transactions on Information Theory},
  year={2011},
  volume={57},
  pages={7377-7385}
}
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
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