发表机构
National University of Singapore; Technology Innovation Institute; Singapore University of Technology and Design（新加坡国立大学; 技术创新研究所; 新加坡科技设计大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究提出结合波长 bracketed 探测与开关路径分解的方法，在133公里光纤测试台实现无经典参考光的24小时以上连续偏振稳定，为长距离DWDM量子网络提供可扩展的稳定策略。
AI 中文摘要
基于光纤的量子网络在分发偏振纠缠时，需要稳定且不间断的传输基以实现可靠运行。明亮的经典参考光可实现快速偏振反馈，但会给量子信道引入噪声；基于纠缠光子的反馈可避免此类噪声，但在校准过程中通常会中断目标纠缠信道，且由于光纤链路的乘积损耗，在长距离场景下速度会慢到难以接受。本研究通过将波长 bracketed 探测与开关启用的路径分解相结合，克服了这两个限制：光谱相邻的纠缠光子边带可跟踪中心分发信道的偏振响应，且不会中断其传输；光开关和本地参考光纤可独立确定信号与闲频的网络变换。将得到的补偿设置转移至中心信道，消除了校准导致的停机时间，并将采集时间的缩放从链路损耗的乘积改为损耗的和。我们在133公里光纤测试台上验证了该方法，在无经典参考光的情况下实现了超过24小时的连续闭环稳定。将多链路量子反馈分解为单链路测量，为波分复用量子网络提供了可扩展的稳定策略。
英文摘要
Fibre-based quantum networks distributing polarization entanglement require a stable and uninterrupted transmission basis for reliable operation. Bright classical reference light enables rapid polarization feedback but can introduce noise into quantum channels. Entangled-photon-based feedback avoids this noise, but typically interrupts the target entanglement channel during calibration and becomes prohibitively slow over long distances due to the product loss of fibre links. Here, we overcome both limitations by combining wavelength-bracketed probing with switch-enabled path decomposition. Spectrally adjacent entangled-photon sidebands track the polarization response of the central distribution channel without interrupting its transmission, while optical switches and local reference fibres independently determine the signal and idler network transformations. Transferring the resulting compensation settings to the central channel eliminates calibration-induced downtime and changes the acquisition-time scaling from the product of the link losses to the sum of losses. We demonstrate the method on a 133 km fibre testbed and achieve continuous closed-loop stabilization for more than 24 hours without classical reference light. The decomposition of multi-link quantum feedback into single-link measurements provides a scalable stabilization strategy for wavelength-multiplexed quantum networks.
