实用量子密钥分发在不完美设备下的安全框架
Security framework for practical quantum key distribution with imperfect devices
浏览论文内容
中文总结 AI 辅助
针对实际QKD系统中光源和探测器的不完美及表征不确定性，提出基于边际约束熵累积定理的模块化安全证明框架，适用于诱骗态BB84等协议，可组合多种缺陷并实现实用密钥率。
中文摘要 AI 辅助
实际量子密钥分发（QKD）系统在光源和探测器上不可避免地存在缺陷。同时，由于表征不确定性、参数波动以及潜在对手的影响，这些不完美设备的行为从未被精确知晓。在本工作中，我们针对通用的制备-测量QKD协议（包括诱骗态BB84协议）提出了一个安全证明，该证明适用于光源和探测器存在缺陷且表征不完美的情况，并使用了边际约束熵累积定理（MEAT）。我们的方法采用了一系列与证明技术无关的光源映射和压缩映射，形成了一个高度模块化的框架。我们表明，即使在多种缺陷组合的情况下，也能实现实用的密钥率。更广泛地说，我们的工作提供了一个统一的基础，避免了针对特定协议论证的需求，并可轻松扩展到其他协议和设备缺陷。
英文摘要
Practical quantum key distribution (QKD) systems inevitably exhibit imperfections in both the source and detector. At the same time, the behavior of these imperfect devices is never exactly known due to characterization uncertainty, parameter fluctuations, and potential influence by an adversary. In this work, we present a security proof for generic prepare-and-measure QKD protocols, including decoy-state BB84, with imperfect and imperfectly characterized sources and detectors using the marginal-constrained entropy accumulation theorem (MEAT). Our approach uses a sequence of proof technique independent source maps and squashing maps, yielding a very modular framework. We show that practical key rates can be achieved even when multiple imperfections are combined. More broadly, our work provides a unified foundation that avoids the need for dedicated protocol-specific arguments and can be readily extended to other protocols and device imperfections.
发表机构
- University of Waterloo（滑铁卢大学）
机构由 AI 辅助整理，请以论文原文为准。
