通过新型量子解码器降低误差指数下限

IF 2.2 3区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Transactions on Information Theory Pub Date : 2024-08-20 DOI:10.1109/TIT.2024.3446614
Salman Beigi;Marco Tomamichel
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引用次数: 0

摘要

我们引入了一种新的量子解码器,它基于相当好测量的一种变体,但通过另一种矩阵商来定义。然后,我们利用这种新型解码器,推导出经典量子和纠缠辅助信道编码问题在单次和渐近状态下的误差指数新下限。我们的下限用测量的(单次下限)和夹层的(渐近下限)信道雷尼互信息来表示,阶数在 1/2 和 1 之间。 这些下限无法与之前针对一般信道建立的一些下限相提并论,但当信道是经典信道时,它们是紧密的(对于接近容量的速率)。最后,我们还利用新的解码器重新得到了 Cheng 最近关于解码错误概率的紧约束,这意味着大多数现有的渐近结果对于新的解码器也是成立的。
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Lower Bounds on Error Exponents via a New Quantum Decoder
We introduce a new quantum decoder based on a variant of the pretty good measurement, but defined via an alternative matrix quotient. We then use this novel decoder to derive new lower bounds on the error exponent both in the one-shot and asymptotic regimes for the classical-quantum and the entanglement-assisted channel coding problems. Our bounds are expressed in terms of measured (for the one-shot bounds) and sandwiched (for the asymptotic bounds) channel Rényi mutual information of order between 1/2 and 1. The bounds are not comparable with some previously established bounds for general channels, yet they are tight (for rates close to capacity) when the channel is classical. Finally, we also use our new decoder to rederive Cheng’s recent tight bound on the decoding error probability, which implies that most existing asymptotic results also hold for the new decoder.
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来源期刊
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory 工程技术-工程:电子与电气
CiteScore
5.70
自引率
20.00%
发文量
514
审稿时长
12 months
期刊介绍: The IEEE Transactions on Information Theory is a journal that publishes theoretical and experimental papers concerned with the transmission, processing, and utilization of information. The boundaries of acceptable subject matter are intentionally not sharply delimited. Rather, it is hoped that as the focus of research activity changes, a flexible policy will permit this Transactions to follow suit. Current appropriate topics are best reflected by recent Tables of Contents; they are summarized in the titles of editorial areas that appear on the inside front cover.
期刊最新文献
Table of Contents IEEE Transactions on Information Theory Publication Information IEEE Transactions on Information Theory Information for Authors Large and Small Deviations for Statistical Sequence Matching Derivatives of Entropy and the MMSE Conjecture
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