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arXiv 2203.06554quant-ph

使用熵积累理论分析具有已知设备的量子密钥分发

Finite-Key Analysis of Quantum Key Distribution with Characterized Devices Using Entropy Accumulation

Ian George, Jie Lin, Thomas van Himbeeck, Kun Fang, Norbert Lütkenhaus

AI总结:

本文提出使用熵积累理论提升设备依赖型量子密钥分发的密钥速率,通过优化沙漏瑞尼熵并改进隐私放大方法。

摘要:

熵积累定理(EAT)被引入以显著提高设备无关量子信息处理任务如设备无关量子密钥分发(QKD)的有限大小速率。一个自然的问题是,它是否也能提高设备依赖QKD的速率。在本工作中,我们对这个问题给出了肯定答案。我们提出了在设备依赖设置中应用EAT的新工具。我们提出了马尔可夫链条件成立的充分条件以及构造所需最小贸易差函数的一般算法。利用Dupuis最近的隐私放大无平滑结果,我们通过直接优化沙漏瑞尼熵来提高密钥速率,而不是考虑传统的平滑最小熵。我们通过考虑几个例子来展示这些新工具,包括基于qubit的BB84协议以及具有现实参数下转换源的BB84协议、六态四态协议以及BB84协议的高维类比。

英文摘要:

The Entropy Accumulation Theorem (EAT) was introduced to significantly improve the finite-size rates for device-independent quantum information processing tasks such as device-independent quantum key distribution (QKD). A natural question would be whether it also improves the rates for device-dependent QKD. In this work, we provide an affirmative answer to this question. We present new tools for applying the EAT in the device-dependent setting. We present sufficient conditions for the Markov chain conditions to hold as well as general algorithms for constructing the needed min-tradeoff function. Utilizing Dupuis' recent privacy amplification without smoothing result, we improve the key rate by optimizing the sandwiched Rényi entropy directly rather than considering the traditional smooth min-entropy. We exemplify these new tools by considering several examples including the BB84 protocol with the qubit-based version and with a realistic parametric downconversion source, the six-state four-state protocol and a high-dimensional analog of the BB84 protocol.

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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