AlGaAs-on-insulator waveguides for integrated nonlinear photonics

May, Stuart James (2019) AlGaAs-on-insulator waveguides for integrated nonlinear photonics. PhD thesis, University of Glasgow.

Due to Embargo and/or Third Party Copyright restrictions, this thesis is not available in this service.

Abstract

AlGaAs-on-insulator (AlGaAs-OI) is a new and promising material platform for integrated nonlinear photonics. In this work a new and robust fabrication process was developed at the University of Glasgow for low loss, high confinement AlGaAs-OI waveguides. By judiciously designing the waveguide geometry, phase-matching and dispersion engineering are demonstrated in these waveguides for second harmonic generation and supercontinuum generation, respectively. Using these designs, second harmonic generation is demonstrated for the first time in an AlGaAs-OI waveguide at telecommunication wavelengths, with a maximum internal normalised efficiency of 1202±55%W-1cm-2 achieved for a 100fs pulsed excitation wavelength at 1560nm. Supercontinua spanning 0.5 octaves (-30dB level) are also demonstrated, exhibiting a plethora of nonlinearities and propagation losses as low as 1.5dB/cm at telecommunication wavelengths. These results are of particular importance for enabling new chip-scale devices for sensing, metrology and quantum optics.

Item Type: Thesis (PhD)
Qualification Level: Doctoral
Keywords: AlGaAs-OI, AlGaAs-on-insulator, waveguides, nonlinear optics, photonics, supercontinuum generation, second harmonic generation.
Subjects: Q Science > Q Science (General)
Q Science > QC Physics
T Technology > T Technology (General)
Colleges/Schools: College of Science and Engineering
Funder's Name: Engineering and Physical Sciences Research Council (EPSRC), Engineering and Physical Sciences Research Council (EPSRC)
Supervisor's Name: Sorel, Prof. Marc
Date of Award: 2019
Embargo Date: 4 September 2020
Depositing User: Mr Stuart James May
Unique ID: glathesis:2019-74381
Copyright: Copyright of this thesis is held by the author.
Date Deposited: 11 Sep 2019 10:11
Last Modified: 05 Mar 2020 21:46
Thesis DOI: 10.5525/gla.thesis.74381
URI: http://theses.gla.ac.uk/id/eprint/74381
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