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Related Experiment Video

Updated: Nov 10, 2025

Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station
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Silicon nitride programmable photonic processor with folded heaters.

Daniel Pérez-López, Ana Gutiérrez, José Capmany

    Optics Express
    |April 6, 2021
    PubMed
    Summary

    Researchers developed a novel unit cell topology for photonic processors, significantly boosting integration density. This design enables higher performance for general-purpose photonic computing and advanced signal processing applications.

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    Area of Science:

    • Photonics
    • Integrated Optics
    • Optical Computing

    Background:

    • General-purpose programmable photonic processors require dense integration of optical components like beamsplitters and phase shifters.
    • Current mesh topologies face hardware constraints limiting integration density and future evolution.

    Purpose of the Study:

    • To present a novel unit cell topology for waveguide mesh arrangements.
    • To increase the integration density of general-purpose photonic processors.
    • To overcome hardware limitations in current photonic processor designs.

    Main Methods:

    • Design of a unit cell topology utilizing folded Mach-Zehnder Interferometers.
    • Integration of a 40-unit cell waveguide mesh on a silicon nitride chip (11mm x 5.5mm).
    • Electrical interfacing of the photonic chip to a printed circuit board (PCB).

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    Main Results:

    • Achieved the highest integration density reported for a general-purpose photonic processor to date.
    • Demonstrated reconfigurable optical beamsplitters.
    • Implemented tunable microwave photonic filters with approximately 40 dB peak rejection.
    • Showcased dynamic interconnection and routing of 5G digitally modulated signals.

    Conclusions:

    • The proposed unit cell topology significantly enhances integration density in photonic processors.
    • The developed photonic processor is capable of advanced functionalities including signal routing and filtering.
    • This advancement paves the way for more powerful and compact general-purpose photonic computing systems.