Expanding detection bandwidth via a photonic reservoir for ultrafast optical sensing

The detection of ultrafast optical and radio-frequency (RF) signals is crucial for applications ranging from high-speed communications to advanced sensing. However, conventional detectors are fundamentally constrained by their intrinsic bandwidth, limiting accurate measurement of broadband signals. Here, we show that a neuromorphic photonic processing approach can overcome this limitation, enabling detection of broadband signals beyond the detector bandwidth. The key idea lies in the spatiotemporal encoding of input waveforms within a photonic reservoir network, which reconstructs high-frequency components otherwise inaccessible to individual detectors. We experimentally demonstrate the detection of high-speed optical phase signals with more than an eightfold effective bandwidth expansion using an on-chip silicon photonic reservoir. This approach provides a scalable and integrated platform for high-speed optical and RF signal processing, opening new opportunities in ultrafast photonics and next-generation communication systems.

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Publication Details

Journal
Optics Express
Published
2026-01-12
DOI
https://doi.org/10.1364/oe.581652
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
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Expanding detection bandwidth via a photonic reservoir for ultrafast optical sensing

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Expanding detection bandwidth via a photonic reservoir for ultrafast optical sensing

Gouhei Tanaka, Tetsuya Asai, Tomoaki Niiyama, Yuito Ito, Atsushi Uchida, Satoshi Sunada
article en

Abstract

The detection of ultrafast optical and radio-frequency (RF) signals is crucial for applications ranging from high-speed communications to advanced sensing. However, conventional detectors are fundamentally constrained by their intrinsic bandwidth, limiting accurate measurement of broadband signals. Here, we show that a neuromorphic photonic processing approach can overcome this limitation, enabling detection of broadband signals beyond the detector bandwidth. The key idea lies in the spatiotemporal encoding of input waveforms within a photonic reservoir network, which reconstructs high-frequency components otherwise inaccessible to individual detectors. We experimentally demonstrate the detection of high-speed optical phase signals with more than an eightfold effective bandwidth expansion using an on-chip silicon photonic reservoir. This approach provides a scalable and integrated platform for high-speed optical and RF signal processing, opening new opportunities in ultrafast photonics and next-generation communication systems.

Optics ExpressVol. 34(2)
Nagoya Institute of Technology (JP), Hokkaido University (JP), Institute for Advanced Study (DE), Saitama University (JP)
Openalex Percentile: Top 91%
Neural Networks and Reservoir Computing
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