194 citations · 357 across the 11 of their papers we have counts for
11 papers
High Clockrate Free-space Optical In-Memory Computing
Yuanhao Liang, James Wang, Kaiwen Xue +12
The ability to process and act on data in real time is increasingly critical for applications ranging from autonomous vehicles, three-dimensional environmental sensing and remote r…
Experimental reservoir computing with diffractively coupled VCSELs
Moritz Pflüger, Daniel Brunner, Tobias Heuser +3
We present experiments on reservoir computing (RC) using a network of vertical-cavity surface-emitting lasers (VCSELs) that we diffractively couple via an external cavity. Our opti…
Injection locking and coupling the emitters of large VCSEL arrays via diffraction in an external cavity
Moritz Pflüger, Daniel Brunner, Tobias Heuser +3
Networks of optically coupled semiconductor lasers are of high interest for fundamental investigations and for enabling numerous technological applications in material processing,…
Deep Learning with Coherent VCSEL Neural Networks
Zaijun Chen, Alexander Sludds, Ronald Davis +8
Deep neural networks (DNNs) are reshaping the field of information processing. With their exponential growth challenging existing electronic hardware, optical neural networks (ONNs…
Spin-lasing in bimodal quantum dot micropillar cavities
Niels Heermeier, Tobias Heuser, Jan Große +6
Spin-controlled lasers are highly interesting photonic devices and have been shown to provide ultra-fast polarization dynamics in excess of 200 GHz. In contrast to conventional sem…
Optical pumping of quantum dot micropillar lasers
L. Andreoli, X. Porte, T. Heuser +5
Arrays of quantum dot micropillar lasers are an attractive technology platform for various applications in the wider field of nanophotonics. Of particular interest is the potential…