Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-11273
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Main Title: Developing a photonic hardware platform for brain-inspired computing based on 5 × 5 VCSEL arrays
Author(s): Heuser, Tobias
Pflüger, Moritz
Fischer, Ingo
Lott, James
Brunner, Daniel
Reitzenstein, Stephan
Type: Article
Language Code: en
Abstract: Brain-inspired computing concepts like artificial neural networks have become promising alternatives to classical von Neumann computer architectures. Photonic neural networks target the realizations of neurons, network connections and potentially learning in photonic substrates. Here, we report the development of a nanophotonic hardware platform of fast and energy-efficient photonic neurons via arrays of high-quality vertical cavity surface emitting lasers (VCSELs). The developed 5 × 5 VCSEL arrays provide high optical injection locking efficiency through homogeneous fabrication combined with individual control over the laser wavelengths. Injection locking is crucial for the reliable processing of information in VCSEL-based photonic neurons, and we demonstrate the suitability of the VCSEL arrays by injection locking measurements and current-induced spectral fine-tuning. We find that our investigated array can readily be tuned to the required spectral homogeneity, and as such show that VCSEL arrays based on our technology can act as highly energy efficient and ultra-fast photonic neurons for next generation photonic neural networks. Combined with fully parallel photonic networks our substrates are promising for ultra-fast operation reaching 10 s of GHz bandwidths, and we show that a single non-linear transformation based on our lasers will consume only about 100 fJ per VCSEL, which is highly competitive, compared to other platforms.
URI: https://depositonce.tu-berlin.de/handle/11303/12431
http://dx.doi.org/10.14279/depositonce-11273
Issue Date: 25-Aug-2020
Date Available: 13-Jan-2021
DDC Class: 530 Physik
Subject(s): photonic reservoir computing
vertical cavity surface emitting laser array
injection locking
neuromorphic hardware
License: https://creativecommons.org/licenses/by/4.0/
Journal Title: Journal of Physics: Photonics
Publisher: IOP
Publisher Place: Bristol
Volume: 2
Issue: 4
Article Number: 044002
Publisher DOI: 10.1088/2515-7647/aba671
EISSN: 2515-7647
Appears in Collections:AG Optoelektronik und Quantenbauelemente » Publications

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