Related Experiment Video
Updated: Nov 21, 2025
14:18
Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements
Published on: February 28, 2016
11.7K
Polarization-independent fiber-chip grating couplers optimized by the adaptive genetic algorithm
Optics Letters
|January 15, 2021
Summary
Adaptive genetic algorithms optimize one-dimensional grating couplers for polarization-independent performance. This allows customization of coupling efficiency and polarization-dependent loss bandwidth for tailored device applications.
Area of Science:
- Photonics and Optical Engineering
- Nanotechnology
- Materials Science
Background:
- Grating couplers are essential components in photonic integrated circuits.
- Achieving polarization-independent performance is a key challenge.
- Optimization algorithms can enhance device design.
Purpose of the Study:
- To demonstrate one-dimensional polarization-independent grating couplers.
- To utilize adaptive genetic algorithms for device optimization.
- To customize device performance by balancing coupling efficiency and polarization-dependent loss (PDL) bandwidth.
Main Methods:
- Employing an adaptive genetic algorithm for grating coupler optimization.
- Adjusting relative weights between coupling efficiency and PDL bandwidth.
- Fabricating and characterizing two distinct grating coupler designs.
Main Results:
- Two designs were generated with tailored performance characteristics.
- Design 1: Coupling efficiencies of -7.6 dB (TE) and -7.9 dB (TM) with a 25.0 nm PDL bandwidth.
- Design 2: Coupling efficiencies of -7.6 dB (TE) and -7.2 dB (TM) with a 22.0 nm PDL bandwidth.
Conclusions:
- Adaptive genetic algorithms enable effective optimization of polarization-independent grating couplers.
- The presented method allows for customization of device performance based on specific application needs.
- The demonstrated grating couplers show promising performance for integrated photonic applications.
