研究目的
Improving the secret key rate of coherent quantum key distribution with Bayesian inference by mitigating laser phase noise.
研究成果
Bayesian methods, particularly the extended Kalman smoother, significantly improve phase noise mitigation in continuous-variable quantum key distribution systems, leading to higher secret key rates and longer reach. The EKS performs similarly to the more computationally intensive particle smoother, indicating its near-optimal performance with the used state space model.
研究不足
The study is limited by the phase noise characteristics of the laser sources used and the computational complexity of the Bayesian methods, especially the particle smoother.
1：Experimental Design and Method Selection:
The study investigates different Bayesian methods for phase noise mitigation in continuous-variable quantum key distribution systems. The methods include extended Kalman filter (EKF), extended Kalman smoother (EKS), and particle smoother (PS).
2：Sample Selection and Data Sources:
The experimental setup involves a heterodyne quantum communication system with a local oscillator at the receiver site, using a nested Mach-Zehnder modulator for signal modulation.
3：List of Experimental Equipment and Materials:
The setup includes a balanced receiver, analog to digital converter (ADC), single mode fiber (SMF 28), and a nested Mach-Zehnder modulator (NMZM).
4：Experimental Procedures and Operational Workflow:
The DSP routine involves clock signal generation, frequency estimation, phase estimation using Bayesian methods, and signal correction.
5：Data Analysis Methods:
The performance is evaluated in terms of excess noise and achievable secret key rate, with comparisons made between different phase estimation methods.
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