Solving Multivariable Equations with Tandem Metamaterialkernels
Qingze Tan, Chao Qian, Tong Cai, Bin Zheng, Hongsheng Chen
Abstract
A fundamental building block in characterizing and tackling scientific and industrial questions boils down to the ability of quickly solving mathematical equations. However, with the ever-growing volume of information and unsustainable integration growth in electronic processors, a radically new modality for solving equations is highly imminent. Here, we introduce an electromagnetic counterpart to solve multivariable complex equations, where two metamaterial kernels are connected in series to form a closed-loop electromagnetic system. Complex valued information is carried by electromagnetic fields, and the equation solution for arbitrary input signals can be recursively attained after a number of feedbacks. As an illustration, we present the capability of such a system in solving eight complex equations, and inversely design two 44 metamaterial kernels by topology optimization, whose average element error is reduced to smaller than 10 -4 . Having accomplished all unknown coefficients with high fidelity, our work represents a conspicuous apparatus for a myriad of enticing applications in ultracompact signal processing and neuromorphic computing.