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Article

Design and Optimization of Polarization-Maintaining Hollow-Core Anti-Resonant Fibers Based on Pareto Multi-Objective Algorithms

1
School of Information and Communication Engineering, North University of China, Taiyuan 030051, China
2
College of Mechatronics Engineering, North University of China, Taiyuan 030051, China
3
College of Engineering, Peking University, Beijing 100871, China
4
Department of Intelligent and Information Engineering, Taiyuan University, Taiyuan 030032, China
*
Authors to whom correspondence should be addressed.
Photonics 2025, 12(10), 993; https://doi.org/10.3390/photonics12100993 (registering DOI)
Submission received: 11 September 2025 / Revised: 4 October 2025 / Accepted: 7 October 2025 / Published: 9 October 2025

Abstract

This work proposes a novel polarization-maintaining hollow-core anti-resonant fiber structure characterized by high birefringence and low transmission loss. To address the inherent trade-off between birefringence and confinement loss, a Pareto-front-based multi-objective optimization algorithm is introduced into the geometrical design of the ARF. The optimal fiber design achieves a birefringence exceeding 1×104 and a confinement loss of approximately 1 dB/m at the telecommunication wavelength of 1.55 μm. In particular, the asymmetric wall thickness configuration further improves the trade-off, enabling confinement loss as low as 0.15 dB/m while maintaining birefringence on the order of 1×104. This approach significantly reduces computational cost and exhibits strong potential for applications in polarization-maintaining communications, precision sensing, and high-power laser delivery.

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MDPI and ACS Style

Qin, Y.; Lu, X.; Ren, Y.; Li, Z. Design and Optimization of Polarization-Maintaining Hollow-Core Anti-Resonant Fibers Based on Pareto Multi-Objective Algorithms. Photonics 2025, 12, 993. https://doi.org/10.3390/photonics12100993

AMA Style

Qin Y, Lu X, Ren Y, Li Z. Design and Optimization of Polarization-Maintaining Hollow-Core Anti-Resonant Fibers Based on Pareto Multi-Objective Algorithms. Photonics. 2025; 12(10):993. https://doi.org/10.3390/photonics12100993

Chicago/Turabian Style

Qin, Yingwei, Xutao Lu, Yunxiao Ren, and Zhiling Li. 2025. "Design and Optimization of Polarization-Maintaining Hollow-Core Anti-Resonant Fibers Based on Pareto Multi-Objective Algorithms" Photonics 12, no. 10: 993. https://doi.org/10.3390/photonics12100993

APA Style

Qin, Y., Lu, X., Ren, Y., & Li, Z. (2025). Design and Optimization of Polarization-Maintaining Hollow-Core Anti-Resonant Fibers Based on Pareto Multi-Objective Algorithms. Photonics, 12(10), 993. https://doi.org/10.3390/photonics12100993

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