arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1012.4814quant-phcs.ITmath.IT
收藏

通过隐私放大和信息协调的噪声信道编码

Noisy channel coding via privacy amplification and information reconciliation

Joseph M. Renes, Renato Renner

摘要:

我们表明,无论是经典或量子信道的公共或私人信息的噪声信道编码的最佳协议可以直接从两个更原始的信息理论工具:隐私放大和信息和解,也被称为数据压缩边信息。我们这样做的一次性方案的无结构的资源,并制定我们的结果在光滑的最小和最大熵。在经典信息论的背景下,这表明,基本上所有的双端协议可以减少到这两个原语,这反过来又分别由平滑的最小熵和最大熵。在量子信息理论的背景下,最近建立的这两个协议的对偶性意味着基本上所有的双端协议都可以只用一个原语来构建。

英文摘要:

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 tools: 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 theory, this shows that essentially all two-terminal protocols can be reduced to these two primitives, which are in turn governed by the smooth min- and max-entropies, respectively. In the context of quantum information theory, the recently-established duality of these two protocols means essentially all two-terminal protocols can be constructed using just a single primitive.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑