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Methods for Estimating Capacities and Rates of Gaussian Quantum Channels

机译:高斯量子通道的容量和速率的估计方法

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摘要

Optimization methods aimed at estimating the capacities of a general Gaussian channel are developed. Specifically evaluation of classical capacity as maximum of the Holevo information is pursued over all possible Gaussian encodings for the lossy bosonic channel, but extension to other capacities and other Gaussian channels seems feasible. Solutions for both memoryless and memory channels are presented. It is first dealt with single-use (single-mode) channel where the capacity dependence on channel's parameters is analyzed providing the full classification of possible cases. Then, it is dealt with multiple uses (multimode) channel where the capacity dependence on the (multimode) environment state is analyzed when both total environment energy and environment purity are fixed. This allows a fair comparison among different environments, thus understanding the role of memory (intermode correlations) and phenomenon like superadditivity of the capacity. The developed methods are also used for deriving transmission rates with heterodyne and homodyne measurements at the channel output. Classical capacity and transmission rates are presented within a unique framework where the rates can be treated as logarithmic approximations of the capacity.
机译:开发了旨在估计一般高斯信道容量的优化方法。在有损玻色子信道的所有可能的高斯编码上,都专门针对古典能力作为Holevo信息的最大值进行评估,但是扩展到其他能力和其他高斯信道似乎是可行的。提出了无记忆和记忆通道的解决方案。首先处理一次性(单模)信道,在此分析了信道参数对容量的依赖性,提供了可能情况的完整分类。然后,处理多用途(多模)通道,其中当总环境能量和环境纯度均固定时,分析对(多模)环境状态的容量依赖性。这样可以在不同的环境之间进行公平的比较,从而了解内存的作用(模式间相关性)和容量超加性之类的现象。所开发的方法还用于导出通道输出上的外差和零差测量值的传输速率。经典容量和传输速率在一个独特的框架内显示,其中速率可以视为容量的对数近似值。

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