Siyu Jia, Han Hai, Xue-Qin Jiang, Shahid Mumtaz, Evangelos K. Markakis, Peng Huang
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High-efficiency reconciliation for continuous-variable quantum key distribution using MGC-LDPC codes
Increasing the reconciliation efficiency and decreasing the frame error rate (FER) during the reconciliation for continuous-variable quantum key distribution (CV-QKD) can improve the secret key rate of CV-QKD. In this paper, we introduce matryoshka globally coupled low-density parity-check (MGC-LDPC) codes with high error correction performance into CV-QKD to increase the reconciliation efficiency. To decrease the FER, we propose an optimization method for MGC-LDPC codes during the reconciliation, thus improving the secret key rate of CV-QKD. Simulation experiments show that the reconciliation efficiency of CV-QKD can be improved to 98.39% by using the optimized MGC-LDPC codes, and the secure transmission distance can be extended to 190 km.
期刊介绍:
Quantum Information Processing is a high-impact, international journal publishing cutting-edge experimental and theoretical research in all areas of Quantum Information Science. Topics of interest include quantum cryptography and communications, entanglement and discord, quantum algorithms, quantum error correction and fault tolerance, quantum computer science, quantum imaging and sensing, and experimental platforms for quantum information. Quantum Information Processing supports and inspires research by providing a comprehensive peer review process, and broadcasting high quality results in a range of formats. These include original papers, letters, broadly focused perspectives, comprehensive review articles, book reviews, and special topical issues. The journal is particularly interested in papers detailing and demonstrating quantum information protocols for cryptography, communications, computation, and sensing.