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arXiv 1902.01764cs.ITmath.IT
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带边信息干扰的经典量子信道信息传输:相关性作为资源,公共随机性产生

Message Transmission over Classical Quantum Channels with a Jammer with Side Information: Correlation as Resource, Common Randomness Generation

Holger Boche, Minglai Cai, Ning Cai

摘要:

在本文中,我们分析了任意变化的经典量子信道(AVCQC)的发送者和接收者使用相关性作为资源的一般模型的容量。在这个通用模型中,干扰机具有关于信道输入的边信息。我们确定了一个单字母公式的相关辅助能力。作为我们的主要结果的一个应用,我们确定了相关辅助的共同随机生成能力。在这种情况下,两个信道用户可以访问相关性作为资源,并进一步使用具有通知的干扰机的AVCQC进行额外的讨论。目标是在两个通道用户之间创建共同的随机性。我们还分析了这些容量公式时,只有少量的相关信号。对于相关性辅助的公共随机生成能力,我们显示了一个额外的有趣的属性:对于足够量的“公共通信”,公共随机生成能力是图灵可计算的,但是如果没有这个公共通信约束,相关性辅助的公共随机生成能力一般来说不是图灵可计算的。此外,我们表明,即使不知道使用最大误差准则的确定性容量的容量公式,我们可以表明,它是不可能的,以评估性能的算法在任何当前或未来的数字计算机。

英文摘要:

In this paper we analyze the capacity of a general model for arbitrarily varying classical-quantum channels (AVCQCs) when the sender and the receiver use correlation as a resource. In this general model, a jammer has side information about the channel input. We determine a single letter formula for the correlation assisted capacity. As an application of our main result, we determine the correlation assisted common randomness generation capacity. In this scenario the two channel users have access to correlation as a resource,and further use an AVCQC with an informed jammer for additional discussion. The goal is to create common randomness between the two channel users. We also analyze these capacity formulas when only a small number of signals from the correlation are available. For the correlation assisted common randomness generation capacity, we show an additional interesting property: For a sufficient amount of "public communication", common randomness generation capacity is Turing computable, however without this public communication constraint, the correlation assisted common randomness generation capacity is, in general, not Turing computable. Furthermore, we show that even without knowing the capacity formula of the deterministic capacity using maximal error criterion, we can show that it is impossible to evaluate the performance algorithmically on any current or future digital computer.

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。

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