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拓扑光子石墨烯中模式可调谐的合成规范场

Pattern-tunable synthetic gauge fields in topological photonic graphene.

作者信息

Huang Zhen-Ting, Hong Kuo-Bin, Lee Ray-Kuang, Pilozzi Laura, Conti Claudio, Wu Jhih-Sheng, Lu Tien-Chang

机构信息

Department of Photonics and Institute of Electro-Optical Engineering, College of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, Hsinchu 30050, Taiwan, ROC.

Institute of Photonics Technologies, National Tsing Hua University, Hsinchu 30013, Taiwan, ROC.

出版信息

Nanophotonics. 2022 Mar 10;11(7):1297-1308. doi: 10.1515/nanoph-2021-0647. eCollection 2022 Mar.

Abstract

We propose a straightforward and effective approach to design, by pattern-tunable strain-engineering, photonic topological insulators supporting high quality factors edge states. Chiral strain-engineering creates opposite synthetic gauge fields in two domains resulting in Landau levels with the same energy spacing but different topological numbers. The boundary of the two topological domains hosts robust time-reversal and spin-momentum-locked edge states, exhibiting high quality factors due to continuous strain modulation. By shaping the synthetic gauge field, we obtain remarkable field confinement and tunability, with the strain strongly affecting the degree of localization of the edge states. Notably, the two-domain design stabilizes the strain-induced topological edge state. The large potential bandwidth of the strain-engineering and the opportunity to induce the mechanical stress at the fabrication stage enables large scalability for many potential applications in photonics, such as tunable microcavities, new lasers, and information processing devices, including the quantum regime.

摘要

我们提出了一种直接有效的设计方法,通过模式可调应变工程来设计支持高品质因子边缘态的光子拓扑绝缘体。手性应变工程在两个区域中创建相反的合成规范场,从而产生具有相同能量间距但拓扑数不同的朗道能级。这两个拓扑区域的边界拥有稳健的时间反演和自旋动量锁定边缘态,由于连续的应变调制而呈现出高品质因子。通过塑造合成规范场,我们获得了显著的场限制和可调性,应变强烈影响边缘态的局域化程度。值得注意的是,双域设计稳定了应变诱导的拓扑边缘态。应变工程的大潜在带宽以及在制造阶段施加机械应力的机会,为光子学中的许多潜在应用提供了大规模可扩展性,例如可调微腔、新型激光器以及包括量子领域在内的信息处理设备。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4dad/11501643/47bfeabeef4b/j_nanoph-2021-0647_fig_001.jpg

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