Inhalt des Dokuments
Neuromorphic computing with optics
[1]
- © TU Berlin
Realize all optical reservoir computing schemes (evaluation via benchmark tasks: Chaotic time series prediction, Memory capacity, Channel equalization etc.)
Develop numerical framework for simulating highly connected delay-coupled networks with memory,
Analyze impact of network topology on computing performance.
Explore correlations of performance and
bifurcation structure
Quantum-dot laser
[2]
- © Copyright??
- Modeling of semiconductor quantum dot lasers
- Control with optical feedback and injection
- Two-state lasing
- Asymptotic analysis of complex laser equations
Integrierte Strukturen
[3]
- © Copyright??
- Mode-locked lasers
- timing jitter reduction
- control with optical feedback
- Nano-laser
- Micropillar-laser with optical perturbations
Projekte
Collaborative Research Center CRC910
- SFB910 Control of self-organizing nonlinear
systems: Theoretical methods and concepts of application [4] mit
dem
B9: Teilprojekt: Collective phenomena in laser networks with nonidentical units [5]
Collaborative Research Center CRC787
- SFB 787 Halbleiter-Nanophontonik [6] mit
dem
B2: Teilprojekt Modellierung der Dynamik von Quantenpunkt-Lasern und -Verstärkern (PDF, 735,7 KB) [7]
DAAD Projekt "Nonlinear Photonics in Nanostructured Semiconductor Lasers"
- im Förderprogramm "Projektbezogener Personenaustausch mit Frankreich
2020-2023 DFG project LU 1729/3-1 "Hybrid photonic computing in delay-coupled non-linear systems with memory"
Forschung/memory_cells.png
AG_Schoell/Luedge/Laser.jpg
AG_Schoell/Luedge/ML_jitter_2delay.jpg
bereich_910/sonderforschungsbereich_910/
center_910/sonderforschungsbereich_910/project_groups/b
_concepts_of_application/tp_b9/
AG_Schoell/abstracts/Report_WWW_B2.pdf