Deep-learning-empowered synthetic dimension dynamics: morphing of light into topological modes

Shiqi Xia; Sihong Lei; Daohong Song; Luigi Di Lauro; Imtiaz Alamgir; Liqin Tang; Jingjun Xu; Roberto Morandotti; Hrvoje Buljan; Zhigang Chen

doi:10.1117/1.AP.6.2.026005

Journals >Advanced Photonics >Volume 6 >Issue 2 >Page 026005 > Article

Advanced Photonics
Vol. 6, Issue 2, 026005 (2024)

Deep-learning-empowered synthetic dimension dynamics: morphing of light into topological modes

Shiqi Xia^1,†, Sihong Lei¹, Daohong Song^1,2, Luigi Di Lauro³..., Imtiaz Alamgir³, Liqin Tang^1,2, Jingjun Xu¹, Roberto Morandotti³, Hrvoje Buljan^1,4,* and Zhigang Chen^1,2,*|Show fewer author(s)

Author Affiliations

¹Nankai University, TEDA Institute of Applied Physics, School of Physics, The MOE Key Laboratory of Weak-Light Nonlinear Photonics, Tianjin, China

²Shanxi University, Collaborative Innovation Center of Extreme Optics, Taiyuan, China

³INRS-EMT, Varennes, Quebec, Canada

⁴University of Zagreb, Department of Physics, Faculty of Science, Zagreb, Croatia

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DOI: 10.1117/1.AP.6.2.026005 Cite this Article Set citation alerts

Shiqi Xia, Sihong Lei, Daohong Song, Luigi Di Lauro, Imtiaz Alamgir, Liqin Tang, Jingjun Xu, Roberto Morandotti, Hrvoje Buljan, Zhigang Chen, "Deep-learning-empowered synthetic dimension dynamics: morphing of light into topological modes," Adv. Photon. 6, 026005 (2024) Copy Citation Text

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