TRIPHOP TOWARDS BRAIN-INSPIRED EFFICIENT PHOTONIC INFORMATION PROCESSING

• P.I.: Ingo Fischer
• Start date: Jan. 1, 2013
• End date: Dec. 31, 2015

Information processing is a major challenge in our information-driven society, and the demand will grow further in the future. Large amounts of data need to be processed in communication networks, but also in other fields like in medicine, environmental or economic systems. Novel unconventional computation approaches are required, and photonics provides attractive possibilities. The aim of this project is to develop and explore a photonic information processing scheme, capable of efficiently performing classification, pattern recognition and prediction tasks. We target to achieve high computational performance with a small number of components by using semiconductor lasers with delayed coupling. Our approach will allow for high speed (GHz) processing, low power consumption and minimal hardware requirements.

Researchers

Ingo Fischer