Opto-electronic neuromorphic architectures (C02)

• Subject Area: Experimental Condensed Matter Physics ; Optics, Quantum Optics and Physics of Atoms, Molecules and Plasmas
• Term: since 2021
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 433682494

In this project, we will develop adaptive opto-electronic networks using linear photonic crossbar arrays combined with non-linear dopant network processing units (DNPUs) for machine learning in materia. The DNPUs will provide multi-terminal non-linear activations which are individually trainable and thus enable novel material-based learning algorithms to be implemented in hardware. We will further operate our envisaged architecture in reverse mode using DNPUs as nonlinear input modules to photonic crossbar arrays. Based on such hybrid opto-electronic networks, we will create nanoscale matter systems with optical and electrical feedback, enabling learning capability.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 1459: Intelligent Matter – From responsive to adaptive nanosystems
• International Connection: Netherlands
• Applicant Institution: Universität Münster
• Project Heads: Professor Dr. Rudolf Bratschitsch, until 12/2024; Professor Dr. Wolfram Hans Peter Pernice; Professor Dr. Wilfred van der Wiel