AI 中文总结
本研究针对量子网络部署中量子与经典信号共纤的噪声挑战，采用商用设备推导了通用拉曼散射模型，可识别受O波段经典信号噪声影响最小的C波段量子信号最优信道。
AI 中文摘要
量子信号与经典信号在同一光纤中共存是量子网络部署的关键挑战，选择量子信号传输的最优信道对最小化共传经典信号产生的噪声至关重要。本研究实验探究了自发拉曼散射（SpRS），其是同一光纤传输信号中的主要噪声源。与多数依赖窄线宽实验室激光器或基于量子与经典信号空间、时间复用架构的过往研究不同，本研究采用商用SFP光收发器与标准单芯单模光纤传输同一光纤内的量子与经典信号，反映了已部署城域光纤基础设施的典型条件。基于这些测量，本研究推导了一个紧凑且可预测的模型，该模型可捕捉拉曼散射轮廓，能根据光源功率、波长和光纤长度准确估算SpRS噪声。本研究的关键成果是，所提模型独立于所用的特定光源，证明了其通用性与鲁棒性，因此可用于识别量子信号分配的最优C波段信道，即受共传O波段经典信号产生的SpRS噪声影响最小的信道。这些结果为适用于各类光纤系统的参数鲁棒拉曼散射描述铺平了道路。
英文摘要
The coexistence of quantum and classical signals in the same optical fiber is a critical challenge for the deployment of quantum networks. Indeed, selecting an optimal channel for quantum signal transmission is crucial to minimize noise arising from co-propagating classical signals. This work experimentally investigates spontaneous Raman scattering (SpRS), a major source of noise in signals transmitted along the same fiber. Unlike most previous studies relying on narrow-linewidth laboratory lasers or architectures based on spatial or temporal multiplexing of quantum and classical signals, we employ commercial SFP optical transceivers and standard single-core single-mode fiber for the transmission of quantum and classical signals in the same fiber, reflecting conditions typical of deployed urban fiber infrastructures. Building on these measurements, we derive a compact and predictive model that captures the Raman scattering profile, enabling accurate estimation of SpRS noise as a function of source power, wavelength, and fiber length. A key outcome of this work is that the proposed model is independent of the specific optical source used, demonstrating its generality and robustness. The model can therefore be used for the identification of optimal C-band channels for quantum signal allocation, namely those least affected by SpRS noise generated by co-propagating O-band classical traffic. These results pave the way for a parameter-robust description of Raman scattering applicable to diverse fiber-based systems.
CommentsAccepted manuscript for publication in IEEE MeditCom26. This work has been funded by the European Union under Horizon Europe ERC-CoG grant QNattyNet ("Quantum-Native Communication Networks: from Quantum Message to Quantum Functioning"), n.101169850. Details at https://qnattynet.quantuminternet.it
