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Journals >Chinese Optics Letters >Volume 22 >Issue 11 >Page 110602 > Article

Chinese Optics Letters
Vol. 22, Issue 11, 110602 (2024)

Experimental validation for high-order vector-eigenmode decomposition with polarization characteristics

Huihui Zhao, Siyan Wang, Yancheng Huang, Wei Chen..., Fufei Pang and Xianglong Zeng^*|Show fewer author(s)

Author Affiliations

Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai 200444, China

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DOI: 10.3788/COL202422.110602 Cite this Article Set citation alerts

Huihui Zhao, Siyan Wang, Yancheng Huang, Wei Chen, Fufei Pang, Xianglong Zeng, "Experimental validation for high-order vector-eigenmode decomposition with polarization characteristics," Chin. Opt. Lett. 22, 110602 (2024) Copy Citation Text

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References

[1] L. Min, Y. Lei, L. Yu et al. Super-resolution optical microscopy using cylindrical vector beams. Nanophotonics, 11, 3395(2020).

[2] Y. Zeng, F. Huang, C. Guclu et al. Sharply focused azimuthally polarized beams with magnetic dominance: near-field characterization at nanoscale by photoinduced force microscopy. ACS Photonics, 5, 390(2018).

[3] H. Ishitobi, I. Nakamura, N. Hayazawa et al. Orientational imaging of single molecules by using azimuthal and radial polarizations. J. Phys. Chem., 114, 2565(2010).

[4] X. Wu, J. Zhang, Q. Fan et al. Dynamic evaluation of four CV modes multiplexing system using Kramers-Kroning reception and 4 × 4 non-singular MIMO. J. Lightwave Technol., 40, 1962(2022).

[5] C. Wang, B. Yang, M. Cheng et al. Cylindrical vector beam multiplexing for radio-over-fiber communication with dielectric metasurfaces. Opt. Express., 28, 38666(2020).

[6] P. M. Krummrich, M. Brehler, G. Rademacher et al. Nonlinear impairment scaling in multi-mode fibers for mode-division. J. Lightwave Technol., 39, 927(2021).

[7] M. Hou, M. Xu, J. Xu et al. Deep learning–based vortex decomposition and switching based on fiber vector eigenmodes. Nanophotonics, 12, 3165(2023).

[8] E. S. Manuylovich, V. V. Dvoyrin, S. K. Turitsyn. Fast mode decomposition in few-mode fibers. Nat. Commun., 11, 5507(2020).

[9] E. Manuylovich, A. Donodin, S. Turitsyn. Intensity-only measurement mode decomposition in few-mode fibers. Opt. Express, 29, 36769(2021).

[10] L. Huang, J. Leng, P. Zhou et al. Adaptive mode control of a few modes fiber by real-time mode decomposition. Opt. Express, 23, 28082(2015).

[11] M. Xu, M. Hou, X. Luo et al. Multi-order hybrid vector mode decomposition in few-mode fibers with DL-based SPGD algorithm. Opt. Laser Technol., 167, 109795(2023).

[12] S. Li, M. Deng, J. Lee et al. Imaging through glass diffusers using densely connected convolutional networks. Optica, 5, 803(2018).

[13] X. Yuan, Y. Xu, R. Zhao et al. Dual-output mode analysis of multimode Laguerre-Gaussian beams via deep learning. Optics, 2, 87(2021).

[14] Y. An, L. Huang, J. Li et al. Deep learning-based real-time mode decomposition for multimode fibers. IEEE J. Sel. Top. Quantum Electron., 26, 1(2020).

[15] X. Weng, L. Du, A. Yang et al. Generating arbitrary order cylindrical vector beams with inherent transform mechanism. IEEE Photonics J., 9, 1(2017).

[16] L. Cao, J. Dou, J. Zhao et al. Generation of mode-switchable nanosecond pulsed cylindrical vector beams and vortex beams from a Q-switched solid-state laser. Opt. Commun., 545, 129715(2023).

[17] F. Chollet. Xception: deep learning with depthwise separable convolutions. Proceedings of 2017 IEEE Conference on Computer Vision and Pattern Recognition, 195(2017).

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Huihui Zhao, Siyan Wang, Yancheng Huang, Wei Chen, Fufei Pang, Xianglong Zeng, "Experimental validation for high-order vector-eigenmode decomposition with polarization characteristics," Chin. Opt. Lett. 22, 110602 (2024)

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