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Flat broadband frequency upconversion within a thin-film lithium niobate waveguide achieved by multi-objective
Optics Express
|August 13, 2025
Summary
We developed a new method using multi-objective genetic algorithm particle swarm optimization (GAPSO) to improve infrared frequency upconversion in thin film lithium niobate (TFLN) waveguides. This technique achieves a significantly flatter broadband response for spectroscopy applications.
Area of Science:
- Nonlinear optics
- Materials science
Background:
- Achieving a flat broadband response is crucial for infrared frequency upconversion in poled thin film lithium niobate (TFLN) waveguides for spectroscopy.
- Traditional methods often rely on preset parameters, limiting efficiency and accuracy.
Purpose of the Study:
- To propose a novel design method for enhancing spectral bandwidth and response flatness in TFLN waveguide-based infrared frequency upconversion.
- To minimize human intervention in the optimization process for improved efficiency and accuracy.
Main Methods:
- Utilized a multi-objective genetic algorithm particle swarm optimization (GAPSO) approach.
- Applied the GAPSO method to design TFLN waveguides for nonlinear infrared frequency upconversion.
Main Results:
- Achieved a spectral bandwidth expansion from 180 nm to 312 nm (a 73% increase).
- Improved response flatness from 1.71 dB to 0.56 dB (a reduction of over 67%).
- Demonstrated a more efficient flat broadband infrared frequency upconversion scheme compared to traditional chirped periodically poled TFLN waveguides.
Conclusions:
- The GAPSO method offers a significant advancement in designing TFLN waveguides for flat broadband infrared frequency upconversion.
- This work has implications for improving spectroscopic measurements and advancing nonlinear optical applications in telecommunications and sensing.
