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    This study introduces a novel graphene metasurface that uses polarization multiplexing to perform distinct mathematical operations on parallel signals. This enables real-time parallel temporal analog computing for advanced applications.

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    Area of Science:

    • Electromagnetics and Metamaterials
    • Applied Physics
    • Nanotechnology

    Background:

    • Modern signal processors require multifunctionality, tunability, and compactness.
    • Existing wave-based signal processors face limitations in parallel processing capabilities.

    Purpose of the Study:

    • To propose a polarization-multiplexed graphene-based metasurface for distinct mathematical operations on parallel time-domain channels.
    • To demonstrate real-time parallel temporal analog computing using programmable metasurfaces.

    Main Methods:

    • Designing a metasurface with two perpendicularly-oriented, tunable graphene strips.
    • Utilizing vertical and horizontal polarizations to create orthogonal processing channels.
    • Dynamically tuning graphene's chemical potential via a DC biasing circuit.

    Main Results:

    • The metasurface successfully implemented distinct mathematical functions on separate time-domain channels.
    • Demonstrated simultaneous operation in different analog computing modes, such as fractional-order differentiation and phasing.
    • Achieved parallel processing of time-domain input signals.

    Conclusions:

    • The proposed graphene metasurface enables real-time parallel temporal analog computing.
    • This strategy has significant potential applications in terahertz spectroscopy, communication systems, and computing technologies.