Graphene for Computing: Devices to Architectures

Konstantinos Rallis

doi:10.1109/OJNANO.2025.3646972

Graphene for Computing: Devices to Architectures

2026-01-01

0

PRE

AI

K

Konstantinos Rallis *

Theodoros Panagiotis Chatzinikolaou

Ioannis G. Karafyllidis

P

Panagiotis Dimitrakis

G

Georgios Ch. Sirakoulis

DOI：10.1109/OJNANO.2025.3646972

Original

Original request for help

Save

Abstract

En 中文

Graphene has long been considered a revolutionary material for the field of electronics due to its remarkable set of electronic properties, standing as a very promising candidate for the post-silicon era. However, it is not just a silicon replacement, but rather an enabling material for different computing paradigms. In this work, we investigate the use of graphene in devices and circuits that are employed for the realisation of computing architectures and systems. More specifically, we focus on impactful key applications such as conventional computing and Boolean logic, high-radix computing and multi-valued logic, memristive devices and in-memory-computing, neuromorphic applications, quantum computing and photonics. Additionally, taking into consideration the state-of-the-art as well as the existing graphene-related challenges that are still present, this work attempts to assess the possible future development of graphene-based devices, circuits and systems in each of the aforementioned fields and to propose a coarse yet directive roadmap for the material's future in computing architectures.

Keywords:

Graphene

Logic gates

Logic

Circuits

Computer architecture

Nanoribbons

Topology

Silicon

Quantum computing

Optical switches

graphene nanoribbons

field-effect transistors

memristors

photonics

neuromorphic computing

quantum computing

Graphene for Computing: Devices to Architectures

Abstract

Journal

Organization