Inverse design of broadband and lossless topological photonic crystal waveguide modes

Nussbaum, E.; Sauer, Erik; Hughes, Stephen

doi:10.1364/ol.420080

Cited by 22 publications

(4 citation statements)

References 26 publications

(31 reference statements)

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“…We note that dispersion engineering can both lift the entire guided bands of the topological photonic crystals into the bandgap [14,15,43] and avoid the mode-crossing of the BIW to recover singlemode operation across the entire k-space, as was done for the GPW [45]. In principle, further optimization of many of the PhCW's metrics is possible using inverse design [50]. Several interesting similarities emerge between the dispersion relations of the topologically conventional and topological waveguides First, both the W1 and ZIW waveguides support one well-coupled mode and others that are poor choices for a quantum interface.…”

Section: Photonic Band Diagrams and Dispersionmentioning

confidence: 99%

Chiral quantum optics in broken-symmetry and topological photonic crystal waveguides

Nils¹,

Hughes²,

Jeannic³

et al. 2021

Preprint

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On-chip chiral quantum light-matter interfaces, which support directional interactions, provide a promising platform for efficient spin-photon coupling, non-reciprocal photonic elements, and quantum logic architectures. We present full-wave three-dimensional calculations to quantify the performance of conventional and topological photonic crystal waveguides as chiral emitter-photon interfaces. Specifically, the ability of these structures to support and enhance directional interactions while suppressing subsequent backscattering losses is quantified. Broken symmetry waveguides, such as the non-topological glide-plane waveguide and topological bearded interface waveguide are found to act as efficient chiral interfaces, with the topological waveguide modes allowing for operation at significantly higher Purcell enhancement factors. Finally, although all structures suffer from backscattering losses due to fabrication imperfections, these are found to be smaller at high enhancement factors for the topological waveguide. These reduced losses occur because the optical mode is pushed away from the air-dielectric interfaces where scattering occurs, and not because of any topological protection. These results are important to the understanding of light-matter interactions in topological photonic crystal and to the design of efficient, on-chip chiral quantum devices.

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Section: Photonic Band Diagrams and Dispersionmentioning

confidence: 99%

Chiral quantum optics in broken-symmetry and topological photonic crystal waveguides

Nils¹,

Hughes²,

Jeannic³

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…In addition, ANN methods were used to predict topological transitions in photonic crystals [179]. Recent works successfully utilizing non-DL methods for inverse design of 2D topological insulators and waveguides [187,188] indicates that ANNs soon may be applied to design topological structures beyond 1D geometry. At the same time, direction of modern research is turned towards reduction of size and realization of topological metadevices [189] meaning that AI technologies can find their applications in metaphotonics.…”

Section: Perspective and Outlookmentioning

confidence: 99%

Intelligent metaphotonics empowered by machine learning

Krasikov,

Tranter,

Bogdanov

et al. 2021

Preprint

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In the recent years, we observe a dramatic boost of research in photonics empowered by the concepts of machine learning and artificial intelligence. The corresponding photonic systems, to which this new methodology is applied, can range from traditional optical waveguides to nanoantennas and metasurfaces, and these novel approaches underpin the fundamental principles of light-matter interaction developed for a smart design of intelligent photonic devices. Concepts and approaches of artificial intelligence and machine learning penetrate rapidly into the fundamental physics of light, and they provide effective tools for the study of the field of metaphotonics driven by opticallyinduced electric and magnetic resonances. Here, we introduce this new field with its application to metaphotonics and also present a summary of the basic concepts of machine learning with some specific examples developed and demonstrated for metasystems and metasurfaces.

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“…TopOpt, and other related inverse design methods, have experienced rapidly growing interest in recent years for a variety of electromagnetics applications, ranging from its early adaptation for design of photonic-crystal-based devices [9] over photonic cavity design [10][11][12], the design of optical lenses [13] and concentrators [14], through more exotic applications such as designing topological insulators [15,16] to the design of optical multiplexer and mode-converters [17,18] to name but a few. The latter being most directly relevant to this paper.…”

Section: Introductionmentioning

confidence: 99%

Inverse design of optical mode converters by topology optimization: tutorial

Christiansen

2023

J. Opt.

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This tutorial details the use of topology optimization (TopOpt) for the inverse design of electromagnetic mode-converters. First, the design problem under consideration is stated. Second, suitable models for the geometry and physics are formulated and third the TopOpt method is outlined. Then follows three increasingly advanced design examples. In the first, the mode converter is allowed to consist of a non-physically-realizable material distribution, leading to a design exhibiting near perfect conversion from the input mode $i$ to the output mode $o$ in terms of power conversion $\left( P_{o,\mathcal{B}}/ P_{i,\mathcal{A}} > 0.99 \right)$, providing a performance benchmark. Then follows two examples demonstrating the imposition of relevant restrictions on the design, first ensuring a physically realizable device blueprint, and second introducing feature-size control and ensuring device connectivity. These examples demonstrate how TopOpt can be used to design device blueprints that only require a minimum of post-processing prior to fabrication, which only encur a minor reduction of performance compared to the completely unconstrained design. A software tool is provided for reproducing the first design example. This tool may be extended to implement the other design examples in the paper, to explore other device configurations or, given suffient computational resources, to design 3D devices.

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Inverse design of broadband and lossless topological photonic crystal waveguide modes

Cited by 22 publications

References 26 publications

Chiral quantum optics in broken-symmetry and topological photonic crystal waveguides

Chiral quantum optics in broken-symmetry and topological photonic crystal waveguides

Intelligent metaphotonics empowered by machine learning

Inverse design of optical mode converters by topology optimization: tutorial

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