论文标题
在可组合有限尺寸安全性下的单向杂差协议的数据后处理
Data post-processing for the one-way heterodyne protocol under composable finite-size security
论文作者
论文摘要
除量子通道的损失和噪声外，实用的连续变量（CV）量子密钥分布（QKD）协议的性能在导致最终秘密密钥的后处理步骤上取决于量子通道的损失和噪声。一个关键的步骤是对帐过程，尤其是当人们在合并框架中假设有限尺寸效果时。在这里，我们专注于高斯调制的相干状态方案，并以高信噪比的范围检测进行杂差检测。我们通过应用参数估计，误差校正（使用高率，非二进制低密度奇偶校验检查代码）和隐私放大来模拟量子通信过程，并通过应用参数估计，误差校正（使用误差校正）后进行后处理。这使我们能够研究协议实际实施的性能，并优化与上述步骤相关的参数。我们还提出了一个相关的Python库，该库执行上述步骤。
The performance of a practical continuous-variable (CV) quantum key distribution (QKD) protocol depends significantly, apart from the loss and noise of the quantum channel, on the post-processing steps which lead to the extraction of the final secret key. A critical step is the reconciliation process, especially when one assumes finite-size effects in a composable framework. Here, we focus on the Gaussian-modulated coherent-state protocol with heterodyne detection in a high signal-to-noise ratio regime. We simulate the quantum communication process and we post-process the output data by applying parameter estimation, error correction (using high-rate, non-binary low-density parity-check codes), and privacy amplification. This allows us to study the performance for practical implementations of the protocol and optimize the parameters connected to the steps above. We also present an associated Python library performing the steps above.
