Machine learning in Photonic Systems

machine learning in photonic systems

Machine learning for efficient data transmission

The focus of the Machine Learning in Photonic Systems Group at DTU Fotonik is on the development and application of machine learning techniques to advance photonic classical and quantum measurement, communication and sensing systems.

Our society relies heavily on information and communication infrastructure. To sustain the growth of our society we therefore need to be able to satisfy future data demands. This is a challenging task as current technology cannot keep up with future data demands.

A paradigm shift is needed to conceptualize novel systems that will be able to satisfy not only future data rate demands, but also provide high-energy efficiency.

The focus of the Machine Learning in Photonic Systems Group at DTU Fotonik is on the development and application of machine learning techniques to advance photonic classical and quantum measurement, communication and sensing systems.

Learn more about the research of the Machine Learning in Photonic Systems group