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Polarization state classification of vector vortex beams using the PaCMAP algorithm
Optics Express
|February 20, 2026
Summary
This study introduces a new algorithm for identifying vector vortex beams (VVBs) in noisy conditions. The pairwise controlled manifold approximation projection (PaCMAP) method significantly improves the classification of VVBs
Area of Science:
- Optics and Photonics
- Quantum Information Science
- Optical Engineering
Background:
- Vector vortex beams (VVBs) possess unique anisotropic wavefront and polarization properties, offering extensive degrees of freedom for advanced applications.
- Accurate mode and polarization identification of VVBs is essential for their effective utilization in fields like optical communication and quantum technology.
- Current methods, such as principal component analysis (PCA), struggle with classifying VVBs in environments with significant noise.
Purpose of the Study:
- To develop and validate a robust algorithm for classifying vector vortex beam states in complex, noisy environments.
- To overcome the limitations of existing methods in accurately identifying VVBs under disturbed conditions.
- To provide a reliable technique for the advancement and application of vector vortex light technology.
Main Methods:
- A novel joint algorithm integrating pairwise controlled manifold approximation projection (PaCMAP) was developed.
- The proposed PaCMAP-based algorithm was designed to specifically address the challenges posed by noise in VVB classification.
- Experimental verification was conducted to assess the algorithm's performance in classifying VVB states.
Main Results:
- The PaCMAP-based joint algorithm demonstrated significantly enhanced classification of VVBs' polarization states.
- The method proved effective in recognizing VVBs even in complex noise environments where traditional methods falter.
- Experimental results confirmed the superior performance and reliability of the proposed algorithm.
Conclusions:
- The developed PaCMAP-based joint algorithm offers a reliable and effective solution for classifying vector vortex beams in noisy conditions.
- This advancement provides a crucial tool for the development and application of vector vortex light in various scientific and technological fields.
- The study highlights the potential of manifold approximation techniques for robust optical beam characterization.
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