2 citations · 2 across the 1 of their papers we have counts for
4 papers
Learning Enabled Dense Space-division Multiplexing through a Single Multimode Fibre
Pengfei Fan, Michael Ruddlesden, Yufei Wang +3
Space-division multiplexing is a promising technology in optical fibre communication to improve the transmission capacity of a single optical fibre. However, the number of channels…
Drone-based all-weather entanglement distribution
Hua-Ying Liu, Xiao-Hui Tian, Changsheng Gu +13
The quantum satellite is a cornerstone towards practical free-space quantum network and overcomes the photon loss over large distance. However, challenges still exist including rea…
Light Propagation Prediction through Multimode Optical Fibers with a Deep Neural Network
Pengfei Fan, Liang Deng, Lei Su
This work demonstrates a computational method for predicting the light propagation through a single multimode fiber using a deep neural network. The experiment for gathering traini…
Deep learning the high variability and randomness inside multimode fibres
Pengfei Fan, Tianrui Zhao, Lei Su
Multimode fibres (MMF) are remarkable high-capacity information channels owing to the large number of transmitting fibre modes, and have recently attracted significant renewed inte…