<p>Two practical issues are investigated for asynchronous measurement-device-independent quantum key distribution (asynchronous MDI-QKD) operated with dense wavelength-division multiplexing (DWDM): the choice of the post-matching window (<InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(T_c\)</EquationSource> </InlineEquation>) and the impact of adjacent-channel crosstalk on the secret key rate. Within a three-intensity decoy-state protocol with finite-size effects, a quantitative key-rate model is developed that links transmission distance, post-matching statistics, and phase-error accumulation, enabling the distance-dependent optimal <InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(T_c\)</EquationSource> </InlineEquation> to be determined. The model is then extended to multi-channel DWDM by incorporating a crosstalk-induced effective detector-noise model that scales with the number of wavelength channels. Building on this unified framework, full parameter optimization of signal/decoy intensities and their sending probabilities is performed using a local search algorithm. Numerical results provide practical design guidelines, indicating when the optimal <InlineEquation ID="IEq3"> <EquationSource Format="TEX">\(T_c\)</EquationSource> </InlineEquation> is essentially insensitive to channel count and when DWDM scalability is ultimately constrained by crosstalk growth.</p>

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The performance of asynchronous measurement device independent quantum key distribution under dense wavelength-division-multiplexing

  • Ji Zhang,
  • Rui Xu,
  • Yudong Zhang,
  • Rongzhen Jiao

摘要

Two practical issues are investigated for asynchronous measurement-device-independent quantum key distribution (asynchronous MDI-QKD) operated with dense wavelength-division multiplexing (DWDM): the choice of the post-matching window ( \(T_c\) ) and the impact of adjacent-channel crosstalk on the secret key rate. Within a three-intensity decoy-state protocol with finite-size effects, a quantitative key-rate model is developed that links transmission distance, post-matching statistics, and phase-error accumulation, enabling the distance-dependent optimal \(T_c\) to be determined. The model is then extended to multi-channel DWDM by incorporating a crosstalk-induced effective detector-noise model that scales with the number of wavelength channels. Building on this unified framework, full parameter optimization of signal/decoy intensities and their sending probabilities is performed using a local search algorithm. Numerical results provide practical design guidelines, indicating when the optimal \(T_c\) is essentially insensitive to channel count and when DWDM scalability is ultimately constrained by crosstalk growth.