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基于量子存储辅助的测量设备无关量子密钥分发(MDI-QKD)协议原理上能有效提升量子密钥分发系统的传输距离和密钥率, 但现有三强度诱骗态方案受有限长效应影响严重, 仍存在密钥率低、安全传输距离受限等问题. 针对以上问题, 本文提出了一种基于双参数扫描的量子存储辅助MDI-QKD协议, 一方面, 通过使用四强度诱骗态方法降低有限长效应的影响; 另一方面, 结合集体约束模型与双参数扫描算法来优化有限样本下的单光子计数率和相位误码率的估算精度, 从而有效提升系统的整体性能. 同时, 本文开展了相关数值仿真计算, 仿真结果显示, 本方案与现有其他同类MDI-QKD方案, 比如基于存储辅助的三强度诱骗态方案以及不使用存储的四强度诱骗态方案相比, 在相同的实验条件下, 分别提升了超过30 km和100 km的安全传输距离. 因此, 本文工作将为未来发展远距离量子通信网络提供重要的参考价值.
Measurement-device-independent quantum key distribution (MDI-QKD) protocol can effectively resist all possible attacks targeting the measurement devices in a quantum key distribution (QKD) system, thus exhibiting high security. However, due to the protocol’s high sensitivity to channel attenuation, its key generation rate and transmission distance are significantly limited in practical applications. To improve the performance of MDI-QKD, researchers have proposed quantum-memory (QM)-assisted MDI-QKD protocol, which has enhanced the protocol's performance to a certain extent. Nevertheless, under finite-size conditions where the total number of transmitted pulses is limited, accurately estimating the relevant statistical parameters is still a challenge. As a result, existing QM-assisted MDI-QKD schemes still encounters issues such as low key rates and limited secure transmission distances. To solve these problems, this work proposes a novel improved finite-size QM-assisted MDI-QKD protocol. By utilizing quantum memories to temporarily store early-arriving pulses and release them synchronously, the protocol effectively reduces the influence caused by channel asymmetry. Additionally, the protocol introduces a four-intensity decoy-state method to improve the estimation accuracy of single-photon components. Meanwhile, to mitigate the influence of finite-length effects on QM schemes, the proposed protocol combines a collective constraint model and a double-scanning algorithm to jointly estimate scanning error counts and vacuum-related counts. This approach enhances the estimation accuracy of the single-photon detection rate and phase error rate under finite-size conditions, thereby significantly improving the secure key rate of the MDI-QKD system. Simulation results show that under the same experimental conditions, compared with the existing QM-assisted three-intensity decoy-state MDI-QKD protocol and the four-intensity decoy-state MDI-QKD protocol based on Heralded Single-photon Source (HSPS), the proposed protocol extends the secure transmission distance by more than 30 km and 100 km, respectively. This proves that under the same parameter settings, the proposed scheme exhibits significant advantages in both key rate and secure transmission distance. Therefore, this research provides important theoretical references and valuable benchmarks for developing long-distance, high-security quantum communication networks. -
Keywords:
- quantum key distribution /
- quantum memory /
- double-scanning /
- joint constraints
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图 1 基于量子存储辅助的MDI-QKD系统装置示意图, 其中IM为强度调制器, NC为非线性晶体, DM为二色镜, PM为相位调制器, FM为法拉第反射镜, Cir为环形器, D0, D1, D2为单光子探测器, PC为泡克耳斯盒, BS为光束分离器, PBS为偏振光束分离器, BSM代表贝尔态测量装置, FPGA代表现场可编程逻辑门阵列
Fig. 1. Schematic diagram of a quantum memory-assisted MDI-QKD system, where IM represents intensity modulator, NC represents nonlinear crystal, DM represents dichroic mirror, PM represents phase modulator, FM represents Faraday mirror, Cir represents circulator, D0, D1, D2 represent single-photon detectors, PC represents pockels cell, BS represents beam splitter, PBS represents polarization beam splitter, BSM represents Bell-state measurement device, FPGA represents field programmable gate array.
图 2 本文提出的方案与已有MDI-QKD方案的系统的增益$S_{{x_{\text{A}}}, {y_{\text{B}}}}^K$ (a) 和误码率$ E_{{x_{\text{A}}}, {y_{\text{B}}}}^K $(b) 曲线对比. 总脉冲数$N = {10^{10}}$
Fig. 2. Comparison of the system gain $S_{{x_{\text{A}}}, {y_{\text{B}}}}^K$ (a) and quantum bit-error rate $ E_{{x_{\text{A}}}, {y_{\text{B}}}}^K $ (b) between the proposed scheme and existing MDI-QKD schemes. Total number of pulses $N = {10^{10}}$.
图 3 本文提出的方案与已有MDI-QKD方案的密钥率曲线对比. 总脉冲数$N = {10^{10}}$, 存储轮数$M = 20$
Fig. 3. Comparison between the proposed scheme and existing MDI-QKD schemes. Total number of pulses $N = {10^{10}}$, and the number of storage rounds $M = 20.$
图 4 有限长效应对不同方案的影响. 存储轮数$M = 10$
Fig. 4. Comparison of the impact of finite-size effects on different QKD schemes. Number of storage rounds $M = 10.$
图 5 在不同存储保真度 (a) 与存储效率(b) 下密钥率随传输距离的变化. 存储轮数$M = 10$, 总脉冲数$N = {10^{10}}$
Fig. 5. Variation of the key rate with transmission distance under (a) different storage fidelities and (b) different storage efficiencies. Number of storage rounds $M = 10$, and the total number of pulses $N = {10^{10}}$.
图 6 不同存储效率下密钥率随存储轮数的变化. 总脉冲数$N = {10^{10}}$
Fig. 6. Variation of the key rate with the number of storage rounds under different storage efficiencies. Total number of pulses $N = {10^{10}}$.
表 1 基于量子存储的四强度诱骗态MDI-QKD协议仿真使用的参数
Table 1. Simulation parameters used in the quantum-memory-based four-intensity decoy-state MDI-QKD protocol.
${e_{\text{d}}}$ $Pd$ $P{d_{\text{t}}}$ ${\eta _{\text{d}}}$ ${\eta _{\text{t}}}$ $\xi $ $f$ $\alpha $/(dB·km–1) $0.015$ $ {10^{ - 7}} $ ${10^{ - 7}}$ $0.6$ $0.75$ ${10^{ - 10}}$ $1.16$ $0.2$ 
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