Advanced Photonics, Volume. 6, Issue 2, 026005(2024)
Deep-learning-empowered synthetic dimension dynamics: morphing of light into topological modes
Fig. 1. Scheme for the mode manipulation in SD assisted with ANNs. A probe beam at input representing one mode (edge in SD) is launched into different synthetic mode arrays, through which light is either transported laterally (left) or confined in SD but as a complex profile in real space (right), depending on the ANN design of the arrays. The input and output data of the ANNs are based on the preassigned eigenvalues and couplings of the arrays. Waveguides are curved along the
Fig. 2. Illustration of the mode evolution in different mode arrays designed by ANNs. (a1)–(a4) Illustration of the mode arrays with equal spacing of eigenvalues
Fig. 3. Experimental demonstration of mode manipulation in SD and corresponding simulations. (a) Illustration of the cw-laser writing and cascade probing method in the experiment. Curved waveguide arrays are written section by section (from the top of a nonlinear crystal), and the output of the probe beam (propagating through the arrays along the
Fig. 4. Mode switching and morphing into topological modes by tuning the array in SD. (a) Mode switching between bulk modes in a topologically trivial lattice designed by ANNs. (a1) The lattice illustration in real space (far left column) and corresponding eigenvalue distribution (right panel). Bulk modes above or below the gap couple to each other without a coupling blockade under an array wiggling frequency
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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)
Category: Research Articles
Received: Oct. 1, 2023
Accepted: Feb. 20, 2024
Published Online: Mar. 19, 2024
The Author Email: Buljan Hrvoje (hbuljan.phy@pmf.hr), Chen Zhigang (zgchen@nankai.edu.cn)