论文标题
基于非对称自适应的基于自适应性的自适应性信息核对工业量子密钥分布
Asymmetric adaptive LDPC-based information reconciliation for industrial quantum key distribution
论文作者
论文摘要
我们开发了一种基于不对称的LDPC信息核对的新方法，以适应当前的渠道状态并在实用的资源约束QKD系统中实现更好的性能和可扩展性。新方案结合了LDPC代码的优势，先验错误率估计，自适应和盲目信息对帐技术。我们比较了使用实际工业QKD设置的几种不对称和对称误差校正方案的性能。提出的不对称算法达到了较高的吞吐量，提供了一个非常接近对称的秘密关键率，这是在较大的错误率中。因此，对于具有高关键速率，有限的经典渠道容量和不对称计算资源分配的应用程序的应用，我们的方法特别有效。
We develop a new approach for asymmetric LDPC-based information reconciliation in order to adapt to the current channel state and achieve better performance and scalability in practical resource-constrained QKD systems. The new scheme combines the advantages of LDPC codes, a priori error rate estimation, rate-adaptive and blind information reconciliation techniques. We compare the performance of several asymmetric and symmetric error correction schemes using real industrial QKD setup. The proposed asymmetric algorithm achieves significantly higher throughput, providing a secret key rate very close to the symmetric one in a wide range of error rates. Thus, our approach turns out to be particularly efficient for applications with high key rates, limited classical channel capacity and asymmetric computational resource allocation.
