Reconfigurable metamaterial processing units that solve arbitrary linear calculus equations

Pengyu Fu, Zimeng Xu, Tiankuang Zhou, Hao Li, Jiamin Wu (), Qionghai Dai () and Yue Li ()
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Pengyu Fu: Tsinghua University
Zimeng Xu: Tsinghua University
Tiankuang Zhou: Tsinghua University
Hao Li: Tsinghua University
Jiamin Wu: Tsinghua University
Qionghai Dai: Tsinghua University
Yue Li: Tsinghua University

Nature Communications, 2024, vol. 15, issue 1, 1-9

Abstract: Abstract Calculus equations serve as fundamental frameworks in mathematics, enabling describing an extensive range of natural phenomena and scientific principles, such as thermodynamics and electromagnetics. Analog computing with electromagnetic waves presents an intriguing opportunity to solve calculus equations with unparalleled speed, while facing an inevitable tradeoff in computing density and equation reconfigurability. Here, we propose a reconfigurable metamaterial processing unit (MPU) that solves arbitrary linear calculus equations at a very fast speed. Subwavelength kernels based on inverse-designed pixel metamaterials are used to perform calculus operations on time-domain signals. In addition, feedback mechanisms and reconfigurable components are used to formulate and solve calculus equations with different orders and coefficients. A prototype of this MPU with a compact planar size of 0.93λ0×0.93λ0 (λ0 is the free-space wavelength) is constructed and evaluated in microwave frequencies. Experimental results demonstrate the MPU’s ability to successfully solve arbitrary linear calculus equations. With the merits of compactness, easy integration, reconfigurability, and reusability, the proposed MPU provides a potential route for integrated analog computing with high speed of signal processing.

Date: 2024
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DOI: 10.1038/s41467-024-50483-x

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