Wavelength-Spatial-Temporal Multiplexing Enabled High-Parallelism Optical Computing

We experimentally realize a wavelength-space-time multiplexed, high-parallelism optical tensor processor leveraging chromatic dispersion in a free-space diffraction grating and demonstrate batch DNN inference at 96.4% accuracy with optical energy consumption of 20 aJ/MAC.

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Publication Details

Published
2025-06-29
DOI
https://doi.org/10.23919/oecc/psc62146.2025.11110810
Primary Topic
Optical Network Technologies
Type
article
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article

Wavelength-Spatial-Temporal Multiplexing Enabled High-Parallelism Optical Computing

Chao Luan, Dirk Englund, Zaijun Chen, Ryan Hamerly et al.
Optical Network Technologies
article

Wavelength-Spatial-Temporal Multiplexing Enabled High-Parallelism Optical Computing

Chao Luan, Dirk Englund, Zaijun Chen, Ryan Hamerly, Ronald Davis
article en

Abstract

We experimentally realize a wavelength-space-time multiplexed, high-parallelism optical tensor processor leveraging chromatic dispersion in a free-space diffraction grating and demonstrate batch DNN inference at 96.4% accuracy with optical energy consumption of 20 aJ/MAC.

Cambridge Electronics (United States) (US), University of California, Berkeley (US)
Affordable and clean energy
Openalex Percentile: Top 80%
Optical Network Technologies
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