Reconfigurable optical arithmetic logic unit and its applications

Abstract The growing constraints of Moore’s Law have fundamentally impeded further advancement in the energy efficiency of conventional electronic integrated circuits. In response, integrated photonics has emerged as a promising solution due to its exceptional bandwidth and ultralow latency. Optical digital computing based on integrated photonics offers inherent advantages in operation speed and energy efficiency compared to electronic digital schemes. However, implementing multi-functional arithmetic logic primitives on photonic chips still face a considerable challenge, and the reported works are mainly limited to basic logic gates or isolated computing modules rather than reconfigurable computational systems. Here, we report a reconfigurable optical computing architecture utilizing silicon-based microring modulators, which can implement reconfigurable basic logic operations and various arithmetic logic units, including 2-bit adder, subtractor and digital comparator. The experimental results demonstrate high computational density of 528 Gb/s/mm 2 and energy efficiency of 12.36 fJ/bit at the operation speed of 20 Gb/s. The proposed device’s practical viability is further demonstrated through multiple application scenarios including data encryption and image processing.

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Publication Details

Journal
Nature Communications
Published
2026-07-18
DOI
https://doi.org/10.1038/s41467-026-75750-x
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

Reconfigurable optical arithmetic logic unit and its applications

Huifu Xiao, X. R. Zhou, Yan Jiang, Yonghui Tian et al.
Nature Communications
Neural Networks and Reservoir Computing
article

Reconfigurable optical arithmetic logic unit and its applications

Huifu Xiao, X. R. Zhou, Yan Jiang, Yonghui Tian, Mingrui Yuan, Pu Zhang
article en

Abstract

Abstract The growing constraints of Moore’s Law have fundamentally impeded further advancement in the energy efficiency of conventional electronic integrated circuits. In response, integrated photonics has emerged as a promising solution due to its exceptional bandwidth and ultralow latency. Optical digital computing based on integrated photonics offers inherent advantages in operation speed and energy efficiency compared to electronic digital schemes. However, implementing multi-functional arithmetic logic primitives on photonic chips still face a considerable challenge, and the reported works are mainly limited to basic logic gates or isolated computing modules rather than reconfigurable computational systems. Here, we report a reconfigurable optical computing architecture utilizing silicon-based microring modulators, which can implement reconfigurable basic logic operations and various arithmetic logic units, including 2-bit adder, subtractor and digital comparator. The experimental results demonstrate high computational density of 528 Gb/s/mm 2 and energy efficiency of 12.36 fJ/bit at the operation speed of 20 Gb/s. The proposed device’s practical viability is further demonstrated through multiple application scenarios including data encryption and image processing.

Nature Communications
North China Electric Power University (CN), Lanzhou University of Technology (CN), Lanzhou University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 6%
Neural Networks and Reservoir Computing
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Reconfigurable optical arithmetic logic unit and its applications — Huifu Xiao, X. R. Zhou, et al. · Nature Communications (2026) | TGRS Research Map | TGRS