Downhill simplex algorithm based approach to holey fiber design for tunable fiber parametric wavelength converters

Area of Science:

• Optics and Photonics
• Materials Science

Background:

• Fiber parametric wavelength converters are crucial for optical signal processing.
• Designing holey fibers with specific nonlinearity and dispersion properties is challenging.

Purpose of the Study:

• To present a novel inverse design approach for holey fibers.
• To optimize fibers for tunable fiber parametric wavelength converters using degenerated four-wave mixing.
• To enable faster and more efficient fiber design based on desired converter characteristics.

Main Methods:

• A hybrid approach combining downhill simplex algorithms with four-wave mixing modeling.
• Exploiting the relationship between fiber properties and converter characteristics.
• Investigating the sensitivity of converter performance to fiber structural parameter variations.

Main Results:

• The proposed method is significantly faster than previous approaches.
• Enables inverse design of holey fibers for pre-set device characteristics (gain, tuning range, length, pump power).
• Identified that adjusting pump power can mitigate fabrication errors.

Conclusions:

• The developed hybrid method offers an efficient inverse design solution for holey fibers.
• Optimized holey fibers are key for advanced tunable fiber parametric wavelength converters.
• The findings provide practical insights for mitigating fabrication challenges in optical fiber design.