Fully parallel optical matrix-matrix multiplication
Yufeng Zhang, Hao Yan, Kaizhi Wang

TL;DR
This paper introduces a new optical computing paradigm capable of fully parallel matrix-matrix multiplication, significantly enhancing computational efficiency over traditional vector-matrix methods, with theoretical analysis and future experimental validation.
Contribution
It proposes a novel optical computing method for parallel matrix-matrix multiplication, replacing traditional vector-matrix approaches and improving efficiency.
Findings
Theoretical analysis supports the feasibility of the proposed method.
Potential for significant speed-up in optical matrix computations.
Future experimental validation planned to confirm results.
Abstract
In recent years, with the rapid development of electro-optic modulators, optical computing has become a potential excellent candidate for various computing tasks. New structures and devices for optical computing are emerging one after another, but the computing method is still the optical vector-matrix multiplication method that was decades ago. Here, we propose a novel optical computing paradigm that can parallelly implement matrix-matrix multiplication operation, which can directly replace existing vector-matrix multiplication, greatly improving computational efficiency. This preprint presents theoretical analysis, and we will supplement experimental results and conclusions in the future.
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Taxonomy
TopicsOptical Network Technologies · Neural Networks and Reservoir Computing · Photonic and Optical Devices
