Kalman filter-based phase estimation of continuous-variable quantum key distribution without sending local oscillator |
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Authors: | Yu Su Ying Guo Duan Huang |
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Institution: | 1. School of Computer Science and Engineering, Central South University, Changsha 410083, China;2. School of Automation, Central South University, Changsha 410083, China |
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Abstract: | Phase estimation is one of the crucial procedures in continuous-variable quantum key distribution without sending local oscillator (LLO-CVQKD), aiming at compensating the phase drift in post-processing. To decrease the phase noise caused by the phase drift and measurement error, we propose Kalman filter-based phase noise estimation of LLO-CVQKD, which involves the measurements and filtering through exploiting the small amplitude reference pulses, achieving the accurate phase noise estimation. Simulation results indicate that Kalman filter-based phase noise estimation is capable of reducing measurement error and phase noise, while increasing the secret key rate by 7 times. |
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Keywords: | Corresponding author Kalman filter Continuous-variable quantum key distribution Phase noise Local oscillator |
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