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Related Experiment Video

Updated: Aug 26, 2025

Determination of the Excitation and Coupling Rates Between Light Emitters and Surface Plasmon Polaritons
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All optical divergence and gradient operators using surface plasmon polaritons.

Hadi Mohammadi, Mahmood Akbari, Amin Khavasi

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    This study introduces a novel plasmonic structure for optical computing, performing 2D differentiation, gradient, and divergence. The proposed device demonstrates superior performance compared to existing differentiators.

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    Area of Science:

    • Plasmonics
    • Optical Computing
    • Nanophotonics

    Background:

    • Plasmonic structures offer unique light-matter interaction capabilities.
    • Kretschmann configuration is a well-established method for exciting surface plasmon polaritons.
    • Optical computing holds potential for high-speed, low-power information processing.

    Purpose of the Study:

    • To propose and demonstrate a plasmonic structure for computational tasks.
    • To implement two-dimensional (2D) isotropic differentiation, gradient, and divergence.
    • To evaluate the performance of the proposed 2D differentiator.

    Main Methods:

    • Utilizing a Kretschmann configuration with a plasmonic structure.
    • Employing polarizers to control light polarization and generate topological charges.
    • Analyzing the transfer function of the structure for computational operations.

    Main Results:

    • The proposed structure successfully performs 2D isotropic differentiation, gradient, and divergence.
    • Using two polarizers enables 2D differentiation with a non-trivial topological charge.
    • Using one polarizer allows for gradient or divergence computation based on light polarization.

    Conclusions:

    • The developed plasmonic structure is a versatile platform for optical computation.
    • The proposed 2D differentiator shows dominant performance over existing methods.
    • This work advances the field of plasmonic-based optical computing.