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Yuheng Xie

As seen in: MDPI, Optica
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Articles

Q-Learning for Resource-Aware and Adaptive Routing in Trusted-Relay QKD Networks

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By Yuheng Xie, Jianjun Tang, Yuanchen Hao, Wenpeng Gao
| preprints.org
This version is not peer-reviewed. Yuanchen Hao  *,Yuheng Xie,Wenpeng Gao,Jianjun Tang Yuanchen Hao  *,Yuheng Xie,Wenpeng Gao,Jianjun Tang This version is not peer-reviewed. Efficient and scalable quantum key scheduling remains a critical challenge in trusted-relay Quantum Key Distribution (QKD) networks due to imbalanced key resource utilization, dynamic key consumption, and topology-induced congestion.
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Enhanced Coexistence of Quantum Key Distribution and Classical Communication over Hollow-Core and Multi-Core Fibers

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By Yongmei Sun, Tianqi Dou, Yuheng Xie, Weiwen Kong
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Few-mode erbium-doped fiber with trench and weak coupling for mode gain equalization based on layered-doping technology

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By QI Zhao, Jianjun Tang, Yuheng Xie, Tianqi Dou
| Optica Verified
Abstract A few-mode erbium-doped fiber (FM-EDF) with a step refractive index and trench structure is designed and proposed to realize the modal gain equalization of a few-mode erbium-doped fiber amplifier (FM-EDFA). The layered-doping technology is used to reduce the mode gain difference (DMG). The doping radius and doping concentration are adjusted to obtain the optimum FM-EDF structure.
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