Quantum key distribution (QKD) offers a practical solution for secure communication between two distinct parties via a quantum channel and an authentic public channel. In this work, we consider different approaches to the quantum bit error rate (QBER) estimation at the information reconciliation stage of the post-processing procedure. For reconciliation schemes using LDPC codes we develop a novel syndrome-based QBER estimation algorithm. The suggested algorithm is suitable for irregular LDPC-codes, and takes into account punctured and shortened bits. With testing our approach in the real QKD setup, we show that an approach combining the proposed algorithm with conventional QBER estimation techniques allows improving accuracy of the QBER estimation.
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