Learning to demultiplex the superposition of spatial modes in multimode fiber using physics-informed deep learning
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
We have proposed a physics-informed deep neural network for multimode fiber communication networks. It is able to demultiplex the 55 fiber modes in real-time and without the need for reference light.
Details
| Original language | English |
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| Title of host publication | Frontiers in Optics |
| Publisher | Optical Society of America |
| ISBN (electronic) | 9781957171296 |
| Publication status | Published - 2023 |
| Peer-reviewed | Yes |
Conference
| Title | 2023 Frontiers in Optics + Laser Science |
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| Abbreviated title | FiO + LS 2023 |
| Duration | 9 - 12 October 2023 |
| Location | Greater Tacoma Center |
| City | Tacoma |
| Country | United States of America |