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arXiv · 2511.20291

AI-Designed Photonics Gratings with Experimental Verification

Yu Dian Lim·Chuan Seng Tan
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Abstract

Artificial Intelligence (AI) software based on transformer model is developed to automatically design gratings for possible integrations in ion traps to perform optical addressing on ions. From the user-defined (x,z) coordinates and full-width half-maximum (FWHM) values, the AI software can automatically generate the Graphic Design System (GDS) layout of the grating that shoots light towards the pre-defined (x,z) coordinates with built-in finite-difference time-domain (FDTD) simulation for performance verification. Based on the FDTD verification, AI-design gratings produced grating-to-free-space light that shoots towards the provided (x,z) target with < 2 micron deviations. For most attempts, the FWHM of FDTD simulation has < 2 micron deviations from the user-defined FWHM. The AI-designed gratings were successfully taped out and capable of producing output light for possible optical addressing of trapped ions.

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Yu Dian Lim, Chuan Seng Tan. 2025-11-26. AI-Designed Photonics Gratings with Experimental Verification. https://arxiv.org/abs/2511.20291

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