Dresden 2017 – wissenschaftliches Programm
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HL: Fachverband Halbleiterphysik
HL 9: Quantum Dots: Preparation and Characterization
HL 9.1: Vortrag
Montag, 20. März 2017, 09:30–09:45, POT 112
Fabrication of spectrally homogeneous quantum dot micropillar laser arrays as a nanophotonic hardware for reservoir computing — •Jan Große1, Tobias Heuser1, Arsenty Kaganskiy1, Daniel Brunner2, and Stephan Reitzenstein1 — 1Institut für Festkörperphysik, Technische Universität Berlin, D-10623 Berlin, Germany — 2FEMTO-ST, Département d’Optique, 15B Avenue des Montboucons, 25030 Besançon, France
Reservoir computing is a machine learning approach for a new way of efficient data processing. In this promising computing scheme, inspired by the neurons in the brain, the interaction of a network of nodes, called the reservoir, is evaluated by a trained readout to enable applications like fast speech recognition. To realize this concept with optically coupled nodes, a nanophotonic hardware implementation is of particular interest. Here, we report on the growth and fabrication process of spectrally homogeneous 2D arrays of up to 900 quantum dot micropillar lasers. Using diffractive coupling and sophisticated external optics [1], lasers in such arrays will form a nonlinear optical reservoir network. To enable this appealing application, spectral inhomogenities of the vertical laser structure, grown by MOCVD, are compensated by precisely adjusting the radius of individual micropillars [2] via high-resolution electron beam lithography to achieve an overall spectral homogeneity better than 200 µeV in the dense micropillar laser array.
References
[1] D.Brunner, I.Fischer, Opt. Lett. 40, 3854-3857 (2015).
[2] S.Reitzenstein, A.Forchel, J.Phys.D.Appl.Phys. 43, 033001 (2010)