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Analytical frequency-doubled HG modes in astigmatic mode converters for composite vortex beam generation
Optics Express
|November 11, 2025
Summary
We developed a framework to control complex light beams, enabling the precise generation of composite vortex beams (CVBs) from frequency-doubled Hermite-Gaussian (HG) modes. This breakthrough advances optical manipulation and quantum communication technologies.
Area of Science:
- Quantum Optics
- Structured Light Generation
- Beam Propagation Physics
Background:
- Hermite-Gaussian (HG) modes are fundamental in optics but controlling their complex propagation and conversion is challenging.
- Astigmatic mode conversion (AMC) plays a crucial role in transforming optical beam properties.
- Deterministic generation of complex light structures like composite vortex beams (CVBs) is vital for advanced applications.
Purpose of the Study:
- To present a comprehensive analytical framework for characterizing the propagation and AMC of frequency-doubled HG modes.
- To enable the deterministic generation of CVBs using this framework.
- To provide a theoretical basis for controlling complex structured light.
Main Methods:
- Rigorous modal decomposition of frequency-doubled HG modes into HG basis modes.
- Analytical derivation of modal coefficients and phase accumulation during propagation.
- Modeling AMC as a unitary transformation between HG and Laguerre-Gaussian (LG) bases.
Main Results:
- The framework accurately describes the propagation of frequency-doubled HG modes as superpositions of constituent HG modes.
- AMC is shown to be a transformation mapping HG modes to LG modes.
- The resulting CVBs are expressed as superpositions of LG modes with inherited coefficients.
Conclusions:
- The developed analytical framework provides full characterization of frequency-doubled HG mode propagation and AMC.
- This enables the on-demand generation and precise control of CVBs.
- The findings offer significant advancements for optical manipulation, quantum communication, and high-dimensional information processing.

