Frequency‐Multiplexed Parallel Differentiation in Subwavelength Planar Metastructure

Wave‐based analog computing has emerged as a transformative approach for ultra‐fast signal processing. However, achieving high computational density and operational flexibility within compact, subwavelength architectures remains a critical challenge. In this work, a metastructure processing unit (MPU) is presented capable of performing frequency‐multiplexed parallel differentiation in a planar subwavelength‐scale. By precisely optimizing the structural design of pixel metamaterials, the wideband electromagnetic dispersion characteristics of the computing unit can be finely controlled, enabling frequency‐multiplexed parallel differential operations across multiple input signals within a single subwavelength structure. Experimental validation at microwave frequencies demonstrates the capability of proposed MPU for real‐time parallel image edge detection, showcasing its efficiency in executing differential operations. The proposed MPU offers significant advantages in compactness and computational density, representing a pivotal step toward next‐generation integrated photonic and electromagnetic computing platforms.