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		题名	作者	年代	出处	被引量
	1	Polarization-insensitive interferometer based on a hybrid integrated planar light-wave circuit显示文摘Interferometers are essential elements in classical and quantum optical systems.The strictly required stability when extracting the phase of photons is vulnerable to polarization variation and phase shift induced by environment disturbance.Here,we implement polarization-insensitive interferometers by combining silica planar light-wave circuit chips and Faraday rotator mirrors.Two asymmetric interferometers with temperature controllers are connected in series to evaluate the single-photon interference.Average interference visibility over 12 h is above 99%,and the variations are less than 0.5%,even with active random polarization disturbance.The experiment results verify that the hybrid chip is available for high-demand applications like quantum key distribution and entanglement measurement.	GUO-WEI ZHANG YU-YANG DING WEI CHEN FANG-XIANG WANG PENG YE GUAN-ZHONG HUANG SHUANG WANG ZHEN-QIANG YIN JUN-MING AN GUANG-CAN GUO ZHENG-FU HAN	2021	Photonics Research2021，9，11：	1
	2	Polarization-insensitive quantum key distribution using planar lightwave circuit chips显示文摘Self-stabilizing the quantum key distribution(QKD)system is essential to evaluate eavesdroppers’information accurately.We develop and verify a polarization-insensitive time-bin decoder chip for QKD with the hybrid asymmetric Faraday-Michelson interferometer(AFMI)based on the planar lightwave circuit(PLC).Compared with existing chip-based QKD works,the scheme can intrinsically compensate for the polarization perturbation to quantum signals and thus work at arbitrary temperatures.We experimentally verify the chips in a time-bin QKD system at the clocking rate of 1.25 GHz and obtain an average secure key rate(SKR)of 1.34 Mbps over a 50 km fiber channel with an optimized analysis model.The steady variations of the quantum bit error and SKR with random polarization disturbance demonstrate that PLC-based AFMIs are available for developing self-stable QKD systems.	Guo-Wei ZHANG Wei CHEN Guan-Jie FAN-YUAN Li ZHANG Fang-Xiang WANG Shuang WANG Zhen-Qiang YIN De-Yong HE Wen LIU Jun-Ming AN Guang-Can GUO Zheng-Fu HAN	2022	Science China(Information Sciences)2022，65，10：	0

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