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作 者:ZHANG LiJun WANG YongGang YIN ZhenQiang CHEN Wei YANG Yang ZHANG Tao HUANG DaJun WANG Shuang LI FangYi HAN ZhengFu
机构地区:[1]Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China [2]Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei 230026, China
出 处:《Chinese Science Bulletin》2011年第22期2305-2311,共7页
基 金:supported by the National Basic Research Program of China (2006CB921900);the National Natural Science Foundation of China (60921091)
摘 要:Phase drift is an inherent problem in phase-encoded quantum key distribution(QKD) systems.The current active phase trackingand compensation solutions cannot satisfy the requirements of a system with nonlinearity in phase modulation.This paper presents a four-phase scanning method,which is based on the quantitative analysis of the quantum bit error rate(QBER) from phasedrift and the performance requirements of phase compensation.By obtaining the four interference fringes and adjusting the codingmatrix of the system,this method automatically calculates the accurate driving voltages for the phase modulator.The implementation and experimental tests show that the proposed method can compensate phase drift caused by environmental changes and thesystem's nonlinearity,and is applicable to large-scale QKD networks.Phase drift is an inherent problem in phase-encoded quantum key distribution (QKD) systems. The current active phase tracking and compensation solutions cannot satisfy the requirements of a system with nonlinearity in phase modulation. This paper presents a four-phase scanning method, which is based on the quantitative analysis of the quantum bit error rate (QBER) from phase drift and the performance requirements of phase compensation. By obtaining the four interference fringes and adjusting the coding matrix of the system, this method automatically calculates the accurate driving voltages for the phase modulator. The implementation and experimental tests show that the proposed method can compensate phase drift caused by environmental changes and the system's nonlinearity, and is applicable to large-scale QKD networks.
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