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Scientific paper - Original scientific paper
Deep-learning-empowered synthetic dimension dynamics: morphing of light into topological modes
Advanced Photonics, 6 (2024), 02; 026005. https://doi.org/10.1117/1.AP.6.2.026005
Xia, Shiqi; Lei, Sihong; Song, Daohong; Di Lauro, Luigi; Alamgir, Imtiaz; Tang, Liqin; Xu, Jingjun; Morandotti, Roberto; Buljan, Hrvoje; Chen, Zhigang

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Xia, S., Lei, S., Song, D., Di Lauro, L., Alamgir, I., Tang, L. ... Chen, Z. (2024). Deep-learning-empowered synthetic dimension dynamics: morphing of light into topological modes. Advanced Photonics, 6. (02). doi: 10.1117/1.AP.6.2.026005

Xia, Shiqi, et al. "Deep-learning-empowered synthetic dimension dynamics: morphing of light into topological modes." Advanced Photonics, vol. 6, no. 02, 2024. https://doi.org/10.1117/1.AP.6.2.026005

Xia, Shiqi, Sihong Lei, Daohong Song, Luigi Di Lauro, Imtiaz Alamgir, Liqin Tang, Jingjun Xu, Roberto Morandotti, Hrvoje Buljan and Zhigang Chen. "Deep-learning-empowered synthetic dimension dynamics: morphing of light into topological modes." Advanced Photonics 6, no. 02 (2024). https://doi.org/10.1117/1.AP.6.2.026005

Xia, S., et al. (2024) 'Deep-learning-empowered synthetic dimension dynamics: morphing of light into topological modes', Advanced Photonics, 6(02). doi: 10.1117/1.AP.6.2.026005

Xia S, Lei S, Song D, Di Lauro L, Alamgir I, Tang L, and sur.. Deep-learning-empowered synthetic dimension dynamics: morphing of light into topological modes. Advanced Photonics [Internet]. 2024 [cited 2024 November 23];6(02). doi: 10.1117/1.AP.6.2.026005

S. Xia, et al., "Deep-learning-empowered synthetic dimension dynamics: morphing of light into topological modes", Advanced Photonics, vol. 6, no. 02, 2024. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:217:548239. [Accessed: 23 November 2024]

Metadata
Title (english)Deep-learning-empowered synthetic dimension dynamics: morphing of light into topological modes
AuthorShiqi Xia
AuthorSihong Lei
AuthorDaohong Song
AuthorLuigi Di Lauro
AuthorImtiaz Alamgir
AuthorLiqin Tang
AuthorJingjun Xu
AuthorRoberto Morandotti
AuthorHrvoje Buljan
AuthorZhigang Chen
Author's institutionUniversity of Zagreb
Faculty of Science
(Department of Physics)
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Physics
Abstract (english)
Synthetic dimensions (SDs) opened the door for exploring previously inaccessible phenomena in high-dimensional space. However, construction of synthetic lattices with desired coupling properties is a challenging and unintuitive task. Here, we use deep learning artificial neural networks (ANNs) to construct lattices in real space with a predesigned spectrum of mode eigenvalues, and thus to validly design the dynamics in synthetic mode dimensions. By employing judiciously chosen perturbations (wiggling of waveguides at desired frequencies), we show resonant mode coupling and tailored dynamics in SDs. Two distinct examples are illustrated: one features uniform synthetic mode coupling, and the other showcases the edge defects that allow for tailored light transport and confinement. Furthermore, we demonstrate morphing of light into a topologically protected edge mode with modified Su–Schrieffer–Heeger photonic lattices. Such an ANN-assisted construction of SDs may advance toward “utopian networks,” opening new avenues for fundamental research beyond geometric limitations as well as for applications in mode lasing, optical switching, and communication technologies.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Journal titleAdvanced Photonics
Numberingvol. 6, no. 02, 026005
p-ISSN2577-5421
DOIhttps://doi.org/10.1117/1.AP.6.2.026005
URN:NBNurn:nbn:hr:217:548239
Publication2024
ProjectNumber: KK.01.1.1.01.0004
Title (croatian): Provedba vrhunskih istraživanja u sklopu Znanstvenog centra izvrsnosti za kvantne i kompleksne sustave te reprezentacije Liejevih algebri
Title (english): Implementation of top research within the Scientific Center of Excellence for Quantum and Complex Systems, and Representations of Lie Algebras
Acronym: QuantiXLie
Leader: Hrvoje Buljan
Jurisdiction: eu
Funding stream: European Regional Development Fund
Document URLhttps://www.spiedigitallibrary.org/journals/advanced-photonics/volume-6/issue-02/026005/Deep-learning-empowered-synthetic-dimension-dynamics--morphing-of-light/10.1117/1.AP.6.2.026005.full
Type of resourceText
Access conditionsOpen access
Terms of useLicence Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) icon
Public note© The Authors. Published by SPIE and CLP under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. Received Oct. 1, 2023; revised manuscript received Jan. 26, 2024; accepted for publication Feb. 20, 2024; published online Mar. 18, 2024.
Created on2024-06-10 11:44:51