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Optimized Fabrication Procedure for High-Quality Graphene-based Moiré Superlattice Devices

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Published on: July 11, 2025

Graphene-assisted multiple-input high-base optical computing.

Xiao Hu¹, Andong Wang¹, Mengqi Zeng²

¹Wuhan National Laboratory for Optoelectronics, School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430073, Hubei, China.

Scientific Reports

|September 9, 2016

Summary

This summary is machine-generated.

We developed a novel graphene-based optical computing device for high-base number operations. This technology enables efficient modulo 4 calculations for three-input quaternary hybrid addition and subtraction using optical signals.

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Area of Science:

Photonics
Optical Computing
Materials Science

Background:

High-base optical computing offers potential for advanced data processing.
Graphene's unique nonlinear optical properties are suitable for device fabrication.
Non-degenerate four-wave mixing (FWM) is a key process for optical signal manipulation.

Purpose of the Study:

To propose and demonstrate graphene-assisted multiple-input high-base optical computing.
To implement modulo 4 operations for three-input quaternary hybrid addition and subtraction in the optical domain.

Main Methods:

Fabrication of a nonlinear optical device using a fiber pigtail coated with single-layer graphene grown by chemical vapor deposition (CVD).
Utilizing multiple non-degenerate four-wave mixing (FWM) processes.
Employing (differential) quadrature phase-shift keying ((D)QPSK) signals for data encoding.

Main Results:

Demonstration of 10-Gbaud modulo 4 operations for three-input quaternary hybrid addition and subtraction (A+B-C, A+C-B, B+C-A).
Measured optical signal-to-noise ratio (OSNR) penalties below 7 dB at a bit-error rate (BER) of 2×10⁻³.
Evaluation of BER performance concerning signal time offset, showing favorable results.

Conclusions:

The proposed graphene-coated optical fiber device effectively implements complex modulo 4 operations.
This work advances the development of high-base optical computing systems.
The demonstrated performance indicates the potential for practical applications in optical signal processing.