Guest Editorial: Optical computing systems

Optical computing benefits from low-loss signal transmission, wide optical bandwidth, and orthogonal multiplexing schemes to address energy and throughput challenges posed by state-of-the-art electronic processors. When an optical processor is synergistically combined with an electronic one, the hybrid system offers ultra-low latency and energy-efficient optical and high-resolution electronic signal processing. Scalable and practical realization of optical computing systems requires research across various aspects, including hardware and control, as well as design algorithms. The field of optical computing is witnessing accelerated progress, with many research groups in academia and industry contributing to it. This Special Topic Collection focuses on significant advances in the field of optical computing and presents the latest theoretical and experimental research results in this area.

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Publication Details

Journal
APL Photonics
Published
2026-04-01
DOI
https://doi.org/10.1063/5.0333273
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

Guest Editorial: Optical computing systems

A. Ozcan, X. Lin, C. De Angelis, F. Ashtiani
APL Photonics
Neural Networks and Reservoir Computing
article

Guest Editorial: Optical computing systems

A. Ozcan, X. Lin, C. De Angelis, F. Ashtiani
article en

Abstract

Optical computing benefits from low-loss signal transmission, wide optical bandwidth, and orthogonal multiplexing schemes to address energy and throughput challenges posed by state-of-the-art electronic processors. When an optical processor is synergistically combined with an electronic one, the hybrid system offers ultra-low latency and energy-efficient optical and high-resolution electronic signal processing. Scalable and practical realization of optical computing systems requires research across various aspects, including hardware and control, as well as design algorithms. The field of optical computing is witnessing accelerated progress, with many research groups in academia and industry contributing to it. This Special Topic Collection focuses on significant advances in the field of optical computing and presents the latest theoretical and experimental research results in this area.

APL PhotonicsVol. 11(4)
Murray State University (US), University of California, Los Angeles (US), University of Brescia (IT), Tsinghua University (CN)
Affordable and clean energy
Openalex Percentile: Top 25%
Neural Networks and Reservoir Computing
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