Presentation + Paper
20 June 2024 Monolithically integrated optical computing component for photonic matrix multiplication based on electro-optically modulated vertical-cavity surface-emitting lasers
Author Affiliations +
Abstract
Leading-edge machine learning algorithms require large amounts of matrix multiplications, which absorb significant computational resources in modern digital electronic systems. Analogue optical computing systems consisting of light sources, modulators and receivers may perform these operations with much higher efficiency. We introduce an integrated device based on electro-optically modulated (EOM) vertical-cavity surface-emitting lasers (VCSELs) that can perform analog multiplication at >28 GHz and at <20 mW power consumption. Due to its monolithic integration, the EOM VCSEL may be used as a building block for integrated optical computing devices. Development of such devices can help create 3-dimensionally integrated computing and communication systems.
Conference Presentation
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
N. Ledentsov Jr., J. Dijkstra, O. Yu. Makarov, V. A. Shchukin, L. Chorchos, J.-R. Kropp, W. H. P. Pernice, and N. N. Ledentsov "Monolithically integrated optical computing component for photonic matrix multiplication based on electro-optically modulated vertical-cavity surface-emitting lasers", Proc. SPIE 13002, Semiconductor Lasers and Laser Dynamics XI, 130020D (20 June 2024); https://doi.org/10.1117/12.3017020
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KEYWORDS
Electrooptic modulation

Vertical cavity surface emitting lasers

Optical computing

Modulation

Electrooptics

Integrated optics

Matrix multiplication

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