Reconfigurable optical computing based on graphene

TL;DR

This paper presents a reconfigurable optical computing system using graphene-based metamaterials capable of performing mathematical operations like derivatives and integrals, offering dynamic and parallel data processing.

Contribution

It introduces a novel, tunable graphene metamaterial structure for optical computing that surpasses traditional electronic limitations and enables dynamic reconfigurable operations.

Findings

Successfully demonstrated derivative and integral operations

Achieved tunability through surface conductivity control

Enabled dynamic reconfigurable optical computing

Abstract

Optical computing has recently attracted a great deal of interest as it offers the ability to process data in a parallel manner. In this report, an optical computing system based on a metamaterial structure made of graphene is designed and demonstrated. It is shown that the proposed structure is able to do different operations such as taking derivative, and integration of an incident field. In addition to this, it is shown that the proposed structure is reconfigurable due to the possibility of tuning the surface conductivities of the graphene flakes. The proposed configuration not only goes beyond the major restriction of traditional electronic computers, but also provides a dynamic operation.