The goal of this project is to develop and evaluate fundamental building blocks for optical artificial neural networks based on coherent nanophotonic circuits. The implementation of effective nonlinear photo-responsive systems has emerged as a primary challenge for novel realizations of optical neural networks for deep-learning applications. By comparing different systems, considering both optical-computing and computer-science aspects, a variety of requirements for nanophotonic neural networks will be determined. Crucial challenges in achieving light-matter interaction at the microscale that is strong enough to yield the nonlinear optical behaviour required for activation functions in optical neural networks will be addressed.
| Risse, Benjamin | Professorship of Geoinformatics for Sustainable Development (Prof. Risse) |
| Schuck, Carsten | Professorship of Experimental Physics (Prof. Schuck) |
| Risse, Benjamin | Professorship of Geoinformatics for Sustainable Development (Prof. Risse) |
| Schuck, Carsten | Professorship of Experimental Physics (Prof. Schuck) |