Continuous transmission of high-spatial-density information accurately through a standard multimode optical fibre was previously deemed impossible, due to the high variability presented in multimode fibre information channels over time.

Researchers at Queen Mary University of London demonstrated a deep-learning enabled high-spatial-density information transmission scheme for standard multimode optical fibres, where a semi-supervised learning approach is used to overcome the highly variable nature of multimode fibre information channels.

This high-spatial-density data transmission framework has the potential to utilise the full spatial capacity of multimode fibers for future image and data transmission. This piece of work is published in Laser & Photonics Reviews.
https://onlinelibrary.wiley.com/doi/10.1002/lpor.202000348

Updated by: Lei Su