Optical Reservoir Computing
Beschreibung
Reservoir computing is a neural-inspired approach for processing temporal data. In the optical domain, it exploits the complex dynamics of photonic systems for high-speed, energy-efficient computation. Various implementations, including semiconductor lasers and integrated photonics, enable applications in pattern recognition and signal processing.
The students’ task is to provide an overview of optical reservoir computing, covering its principles, implementations, and applications.
Possible literature:
- Duport, François, et al. "All-optical reservoir computing." Optics express 20.20 (2012): 22783-22795.
- von Hünefeld, Guillermo, et al. "Enabling optical modulation format identification using an integrated photonic reservoir and a digital multiclass classifier." European Conference and Exhibition on Optical Communication. Optica Publishing Group, 2022.
- Van der Sande, Guy, Daniel Brunner, and Miguel C. Soriano. "Advances in photonic reservoir computing." Nanophotonics 6.3 (2017): 561-576.
Voraussetzungen
Recommended for students with and optics background