Compact logic operator utilizing a single-layer metasurface

Abstract

In this paper, we design and demonstrate a compact logic operator based on a single-layer metasurface at microwave frequency. By mapping the nodes in the trained fully connected neural network (FCNN) to the specific unit cells with phase control function of the metasurface, a logic operator with only one hidden layer is physically realized. When the incident wave illuminates specific operating regions of the metasurface, corresponding unit cells are activated and can scatter the incident wave to two designated zones containing logical information in the output layer. The proposed metasurface logic operator is experimentally verified to achieve three basic logic operations (NOT, OR, and AND) under different input signals. Our design shows great application potential in compact optical systems, low-power consumption information transmission, and ultrafast wave-based full signal processing.

Integrated Photonic Neural Networks: Opportunities and Challenges

“…Traditional MZIs have limited scalability and consume excessive power. Here, the optical metasurfaces offer new possibilities for realizing light–matter interactions by compressing the light fields at subwavelength scales. − First, it is worth noting that functional optical computing components based on metasurfaces have been reported, such as computational imaging and compact logic operator . Then, it is also of great research significance to use metasurfaces to replace the components of traditional chips for computing. , Moreover, machine learning may enrich the metasurface devices by exploiting machine-learning techniques for improving optical system design and hardware. , Optical on-chip dielectric metasurfaces, as artificially designed electromagnetic interfaces, , can manipulate the degree of freedom of on-chip optical signal transmission, and they have the potential to realize on-chip integrated photonic computing with a compact footprint, broadband, and low loss.…”

Inverse-designed Metamaterials for On-chip Combinational Optical Logic Circuit

“…For nonlinear optical logic gates, they typically necessitate high signal powers and large interaction lengths, because the optical nonlinearities of natural materials are relatively weak [33,34]. For linear optical logic gates, a variety of logic gates have been demonstrated using photonic crystals nanowire networks and metasurfaces [35][36][37][38][39][40][41][42][43][44][45][46][47]. Previous studies mainly focus on the implementation of individual logic gate, while the combinational logic circuit has not yet been extensively studied.…”

Deep learning-enabled compact optical trigonometric operator with metasurface

“…Besides, in such traditional metasurface-based photonic signal processing solutions, the structural parameters of metasurface need to be reconstructed and continuously adjusted to obtain specific outputs when facing a new task, which hinders flexibility and cost optimization. Notably, as a powerful numerical tool that has made significant advances in the fields of optical logic computing [27,28], image processing [29,30], cloaking [31], target recognition [32], excitation of bound states in the continuum (BIC) [33] and holographic generation [34], to name a few, deep learning approach provides a feasible route to simplify the design of photonic signal processors that perform mathematical function operations.…”