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Achieving Achromatic and Misalignment-Tolerant Fiber Coupling via Meta-Lens with Structural Interleaving.

Xinlie Yuan1,2, Zhenhuan Tian1, Ben Jia1

  • 1Shaanxi Provincial Key Laboratory of Photonics & Information Technology, Xi'an Jiaotong University, Xi'an 710049, China.

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Summary

This study introduces a novel meta-lens design that corrects chromatic aberration and improves off-axis collimation in laser-lens-fiber systems. The meta-lens achieves high coupling efficiency and robust performance for optical applications.

Keywords:
achromatic designanti-displacement performancemeta-lensparticle swarm optimizationphase matchingstructural interleaving

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Area of Science:

  • Optics and Photonics
  • Metamaterials
  • Optical Engineering

Background:

  • Laser-lens-fiber coupling systems often suffer from chromatic aberration and off-axis collimation issues.
  • These aberrations limit the efficiency and precision of optical systems.

Purpose of the Study:

  • To design a meta-lens that overcomes chromatic aberration and off-axis collimation challenges.
  • To enhance the performance and robustness of laser-lens-fiber coupling systems.

Main Methods:

  • Developed a chromatic aberration-corrected meta-lens using particle swarm optimization and structural interleaving.
  • Incorporated wavelength-dependent phase factors into an optimization model.
  • Integrated multiple phase distributions onto a single meta-surface using structural interleaving.

Main Results:

  • Achieved achromatic performance with a focal length standard deviation below 0.4 μm in the 1260-1360 nm band.
  • Maintained coupling efficiency fluctuation within 8% over a ±1 μm off-axis displacement.
  • Demonstrated a phase matching efficiency of 95.2%.

Conclusions:

  • The proposed meta-lens design effectively addresses phase quantization and dispersion matching challenges.
  • This method offers a feasible solution for engineering robust meta-lenses in high-precision optical systems.
  • The results pave the way for advanced applications in optical communication and sensing.