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Related Experiment Video

Updated: Jan 11, 2026

Fabrication and Testing of Photonic Thermometers
08:44

Fabrication and Testing of Photonic Thermometers

Published on: October 24, 2018

6.2K

Flexible testbed for prototyping photonic processors.

Nicholas A Nobile, Vivswan Shah, Nathan Youngblood

    Optics Express
    |November 11, 2025
    PubMed
    Summary

    This study presents a reconfigurable photonic testbed for faster, cheaper neuromorphic system development. Its modular design and advanced components enable high-precision AI inferencing and signal processing, overcoming traditional limitations.

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    Area of Science:

    • Photonics
    • Neuromorphic Engineering
    • Integrated Circuits

    Background:

    • Traditional photonic integrated circuits (PICs) face high costs and inflexibility, limiting neuromorphic system development.
    • A need exists for adaptable platforms to accelerate the design and deployment of photonic processors.

    Purpose of the Study:

    • To introduce a reconfigurable testbed for prototyping advanced photonic processors.
    • To demonstrate a cost-effective and scalable solution for neuromorphic system development.

    Main Methods:

    • Utilized a modular, hot-swappable fiber-coupled architecture.
    • Incorporated MEMS-based variable optical attenuators (VOAs) for weight adjustment and wavelength-division multiplexing (WDM) for parallel processing.
    • Achieved 5.85 bits of precision through careful calibration.

    Main Results:

    • Demonstrated low root mean square error (RMSE) in finite impulse response (FIR) filtering and 2D image convolutions.
    • Achieved 75% accuracy on ImageNet subsets using a ResNet-18 model, comparable to digital systems.
    • Validated the platform's versatility, scalability, and cost-effectiveness.

    Conclusions:

    • The developed testbed significantly reduces barriers in photonic processor design.
    • The platform supports high-fidelity operations for real-time signal processing and AI inferencing.
    • This reconfigurable system accelerates the adoption of neuromorphic photonic technologies.

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