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Fast automatic fiber coupling using global optimization algorithms approaching the experimental efficiency limit.

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Automated fiber optic coupling using Bayesian optimization achieves over 93% efficiency in under 10 seconds. This high-precision alignment is crucial for advanced laser applications in confined spaces.

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Area of Science:

  • Optics and Photonics
  • Quantum Technologies
  • Precision Measurement

Background:

  • High-quality laser modes are essential for quantum computing and precision measurement.
  • Fiber optics are vital for transmitting lasers over long distances and creating robust experimental setups.
  • Efficient laser-to-fiber coupling is a critical bottleneck in optical experiments, especially in confined or vacuum environments.

Purpose of the Study:

  • To investigate and compare automatic laser coupling algorithms for fiber optics.
  • To develop a repeatable and high-precision fiber alignment solution for challenging environments.
  • To achieve maximum coupling efficiency using automated methods.

Main Methods:

  • Experimental investigation of automatic coupling algorithms.
  • Comparison of iterative scanning and global optimization methods.
  • Application of Bayesian optimization with multidimensional control and high-precision actuation.

Main Results:

  • Bayesian optimization achieved coupling efficiencies exceeding 93%.
  • The automated coupling process was completed in under 10 seconds.
  • Demonstrated repeatable and high-precision fiber alignment.

Conclusions:

  • Automated fiber alignment using Bayesian optimization offers a robust solution for laser coupling.
  • This method significantly enhances the efficiency and practicality of optical experiments in confined spaces.
  • The developed algorithms provide reliable fiber alignment for diverse all-optical applications.