Multi-dimensional optical computing

We propose a mode-division multiplexing (MDM) approach for small-scale optical matrix multiplication and a multi-dimensional architecture for large-scale applications, supplementing wavelength-division multiplexing (WDM) with MDM to increase channel capacity for computations. We design and experimentally demonstrate key components for the MDM computing system, i.e., a multimode beam splitter, a micro-ring modulator for high-order modes, and a multimode waveguide bend. We further show a 2-by-2 matrix multiplexing system fabricated in a foundry that works for both MDM and MDM-WDM computing, which confirms that our approach successfully increases the input vector size for computing and ensures compatibility with existing WDM networks.

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Publication Details

Published
2024-10-02
DOI
https://doi.org/10.1117/12.3027900
Primary Topic
Optical Network Technologies
Type
article
Field-Weighted Citation Impact
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article

Multi-dimensional optical computing

Zhetao Jia, Hector Rubio, Lilian Neim, Stefan F. Preble et al.
Optical Network Technologies
article

Multi-dimensional optical computing

Zhetao Jia, Hector Rubio, Lilian Neim, Stefan F. Preble, Jagang Park, Boubacar Kanté
article en

Abstract

We propose a mode-division multiplexing (MDM) approach for small-scale optical matrix multiplication and a multi-dimensional architecture for large-scale applications, supplementing wavelength-division multiplexing (WDM) with MDM to increase channel capacity for computations. We design and experimentally demonstrate key components for the MDM computing system, i.e., a multimode beam splitter, a micro-ring modulator for high-order modes, and a multimode waveguide bend. We further show a 2-by-2 matrix multiplexing system fabricated in a foundry that works for both MDM and MDM-WDM computing, which confirms that our approach successfully increases the input vector size for computing and ensures compatibility with existing WDM networks.

Rochester Institute of Technology (US), University of California, Berkeley (US)
Openalex Percentile: Top 86%
Optical Network Technologies
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Multi-dimensional optical computing — Zhetao Jia, Hector Rubio, et al. · (2024) | TGRS Research Map | TGRS