Euclidean Distance Calculation Engine using an Analog Silicon Photonic Tensor Core

We demonstrate Euclidean Distance calculation between optical vectors directly in the analog optical domain by utilizing a Silicon Photonic Tensor core. Successful distance calculations between two sets of 4 optical vectors are experimentally presented at 10 Gb/s with a worst-case MSE value of only 0.006.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-10
DOI
https://doi.org/10.5281/zenodo.24102831
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

Euclidean Distance Calculation Engine using an Analog Silicon Photonic Tensor Core

T. Moschos, A. Tsakyridis, S. Kovaios, M. Chatzitsopanis et al.
Zenodo (CERN European Organization for Nuclear Research)
Neural Networks and Reservoir Computing
article

Euclidean Distance Calculation Engine using an Analog Silicon Photonic Tensor Core

T. Moschos, A. Tsakyridis, S. Kovaios, M. Chatzitsopanis, G. Tsamis, M. Moralis - Pegios, A. Prapas, N. Pleros
article en

Abstract

We demonstrate Euclidean Distance calculation between optical vectors directly in the analog optical domain by utilizing a Silicon Photonic Tensor core. Successful distance calculations between two sets of 4 optical vectors are experimentally presented at 10 Gb/s with a worst-case MSE value of only 0.006.

Zenodo (CERN European Organization for Nuclear Research)
Aristotle University of Thessaloniki (GR)
Neural Networks and Reservoir Computing
DOIOpen Access PDFOpenAlex
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