Parametric amplification based on intermodal four-wave mixing between different supermodes in coupled-core fibers

Abstract

Parametric amplifiers relying on the nonlinear four-wave mixing process are known for their signature symmetric gain spectrum, where signal and idler sidebands are generated on both sides of a powerful pump wave frequency. In this article we show analytically and numerically that parametric amplification in two identically coupled nonlinear waveguides can be designed in such a way that signals and idlers are naturally separated into two different supermodes, hence providing idler-free amplification for the supermode carrying signals. This phenomenon is based on the coupled-core fibers analogue of intermodal four wave-mixing occurring in a multimode fiber. The control parameter is the pump power asymmetry between the two waveguides, which leverages the frequency dependency of the coupling strength. Our findings pave the way for a novel class of parametric amplifiers and wavelength converters, based on coupled waveguides and dual-core fibers.

Publication DOI: https://doi.org/10.1364/OE.480480
Divisions: College of Engineering & Physical Sciences > Aston Institute of Photonics Technology (AIPT)
College of Engineering & Physical Sciences
Additional Information: Funding: Engineering and Physical Sciences Research Council (EP/W002868/1); Royal Academy of Engineering (Research Fellowship Scheme). Copyright Published by Optica Publishing Group under the terms of the Creative Commons Attribution 4.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.
Publication ISSN: 1094-4087
Last Modified: 23 May 2024 07:21
Date Deposited: 27 Mar 2023 12:12
Full Text Link:
Related URLs: https://opg.opt ... -9760&id=527155 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2023-03-13
Accepted Date: 2023-02-06
Authors: Shi, Minji
Ribeiro, Vitor
Perego, Auro M. (ORCID Profile 0000-0001-5211-6513)

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