Head of Group
Univ.-Prof. Dr. rer. nat. (habil.) Kathy Lüdge
Secretarys office:
Dagmar Böhme
Tel.: +49 (0) 3677 69 3706
Curiebau, Zi. 320
Research
We investigate dynamical instabilities arising from optical feedback, optical injection or mode coupling in lasers. The carrier dynamics in the gain material (e.g. semiconductor nanostructures) plays a central role. Another research topic concerns the extent to which these optical systems can be used for hardware-based machine learning. We use numerical methods to solve coupled differential equations as well as analytical methods of nonlinear dynamics for bifurcation analysis.
Invited conference papers
- WIAS Laser Workshop 7/3-5/23, https://www.wias-berlin.de/workshops/NDSL23/
- Athens Workshop July 13-14 , title "Readout and timescale engineering in time-multiplexed reservoir computing" https://neoterich2020.eu/2023/03/01/2nd-workshop-on-neuromorphic-photonics-and-applications/
2nd Workshop on "Neuromorphic photonics and applications", University of West Attica, July 13-14, 2023 https://rncp.eu/workshop/, Title: "Readout and timescale engineering in time-multiplexed reservoir computing"IEEE Workshop on Complexity in Engineering (COMPENG), Florence (virtual), Italy 18/07/22 - 20/07/22 -Title: Delay-based Reservoir Computing: Role of Timescales and Memory for Optimizing PerformanceEmerging Topics in Artificial Intelligence (ETAI), San Diego, US 21-25/08/2022 - Title: Photonic reservoir computing with non-linear memory cells: Interplay between topology, delay and delayed input
DPG Tagung (SKM Meeting), Regensburg, Germany, 4-9/09/2022 - Title: Photonic Reservoir Computing: Analytic insights and possibilities for optimization
- Rank Prize Fund Symposium on 'Neuromorphic Photonics' (6-9 February 2023),https:// www.rankprize.org/symposia/neuromorphic-photonics/- Title: Delay-based Photonic Reservoir Computing : Improving performance via the delay architecture
Publications
Köster, F.; Patel, D.; Wikner, A.; Jaurigue, L.; Lüdge, K.. Data-informed reservoir computing for efficient time-series prediction. In: Chaos, 33, Issue 7, 2023
Meinecke, S.; Köster, F.; Christiansen, D.; Lüdge, K.; Knorr, A.; Selig, M. Data-driven forecasting of nonequilibrium solid-state dynamics In: Phys. Rev. B 107, 184306, 2023
Roos, A.; Meinecke, S.; Lüdge, K. Spontaneous emission noise resilience of coupled nanolasers, In: Front. Photon. sec. nonlinear optics, 4, 2023, Messner, Leon; Robertson, Elizabeth; Esguerra, Luisa; Lüdge, Kathy; Wolters, Janik. Multiplexed random-access optical memory in warm cesium vapor. In: Optics express, ISSN 1094-4087, vol. 31 (2023), 6, pp. 10150-10158 Hülser, Tobias; Köster, Felix; Lüdge, Kathy; Jaurigue, LinaDeriving task-specific performance from the information processing capacity of a reservoir computer. In: Nanophotonics, ISSN 2192-8614, vol. 12 (2023), 5, pp. 937-947.
Teaching
The Department of Theoretical Physics 2 offers courses in the framework of the course Technical Physics. This concerns the three Bachelor modules:
Theoretical Physics 1 Theoretical Physics 2 Theoretical Physics 3
as well as the Master modules:
Theoretical Physics, Numerics and Simulation Module Physics of Complex Systems.