Computational metrics of an injection-locked large area semiconductor laser for neural network computing (Conference Presentation)

Anas Skalli; Xavier Porte; Nasibeh Haghighi; Stephan Reitzenstein; James A. Lott; Daniel Brunner

doi:10.1117/12.2633381

4 October 2022 Computational metrics of an injection-locked large area semiconductor laser for neural network computing (Conference Presentation)

Anas Skalli, Xavier Porte, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, Daniel Brunner

Author Affiliations +

Proceedings Volume PC12204, Emerging Topics in Artificial Intelligence (ETAI) 2022; PC1220408 (2022) https://doi.org/10.1117/12.2633381
Event: SPIE Nanoscience + Engineering, 2022, San Diego, California, United States

Abstract

Artificial neural networks (ANNs) have become a staple computing technique in many fields. Yet, they differ from classical computing hardware by taking a connectionist and parallel approach to computing and information processing. Here, we present a high performance, scalable, fully parallel, and autonomous PNN based on a large area vertical-cavity surface-emitting laser (LA-VCSEL). We implement 300+ hardware nodes and train the network to perform up to 6-bit header recognition, XOR classification and digital to analog conversion. Moreover, we investigate the impact of different physical parameters, namely, injection wavelength, injection power, and bias current on performance, and link these parameters to the general computational measures of consistency and dimensionality.

Conference Presentation

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Anas Skalli, Xavier Porte, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, and Daniel Brunner "Computational metrics of an injection-locked large area semiconductor laser for neural network computing (Conference Presentation)", Proc. SPIE PC12204, Emerging Topics in Artificial Intelligence (ETAI) 2022, PC1220408 (4 October 2022); https://doi.org/10.1117/12.2633381

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KEYWORDS

Neural networks

Semiconductor lasers

Computer networks

Complex systems

Vertical cavity surface emitting lasers

Analog electronics

Artificial neural networks

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