对于低信号噪音比率的CV-QKD系统的速度适应性信息调和
Huiting Fu1, Jisheng Dai1, Yan Feng2
1College of Information and Intelligent Science, Donghua University, Shanghai 201620, China.
Entropy (Basel, Switzerland)
|January 28, 2026
概括
本研究引入了两个用于连续变量量子密钥分布 (CV-QKD) 的新型速率适应信息调和协议. 这些协议提高了协调效率,并保持了不同信号噪声比的秘密密钥速率.
科学领域:
- 量子信息科学 量子信息科学
- 量子密码学 量子密码学
- 信息理论 信息理论
背景情况:
- 信息协调 (IR) 对连续变量量子密钥分布 (CV-QKD) 秘密密钥率 (SKR) 至关重要.
- 固定率的错误纠正代码在IR与不同的信号噪声比率 (SNRs) 斗争,限制了实际CV-QKD中的和解效率.
- 现有的方法缺乏适应动态通道条件的适应性.
研究的目的:
- 为CV-QKD系统开发适应速率的IR协议.
- 提高协调效率,在波动的SNR下保持SKR.
- 为实际的CV-QKD实施提供解决方案.
主要方法:
- 拟议的基于值的IR (TIR) 协议使用具有可调节代码率的低密度平价检查 (LDPC) 代码.
- 开发了基于排序的IR (SIR) 协议,用于基于SNR的动态代码速率调整.
- 分析了代码速率,协调效率和复杂性的协议.
主要成果:
- 与现有的速度适应式IR协议相比,TIR和SIR协议的性能优越.
- 对于低于-20dB的SNR,实现了超过98.5%的调和效率.
- 在模拟中保持稳定的SKR,表明适合长途CV-QKD.
结论:
- 拟议的TIR和SIR协议有效地解决了CV-QKD IR中固定费率代码的局限性.
- 这些适应速率的策略显著提高了在广泛的SNR范围内的协调效率.
- 开发的协议为强大高效的CV-QKD系统提供了实际的解决方案.
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