Predictive modelling of optical beams from grating structure using deep neural network
Integrated grating structure has been widely used in the optical addressing of trapped ion qubits in quantum computing. For accurate optical addressing, the optical properties of light beam coupled out from the grating should be thoroughly understood. In this study, deep neural network (DNN) modelin...
Saved in:
Main Authors: | Lim, Yu Dian, Zhao, Peng, Guidoni, Luca, Likforman, Jean-Pierre, Tan, Chuan Seng |
---|---|
其他作者: | School of Electrical and Electronic Engineering |
格式: | Article |
語言: | English |
出版: |
2023
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/170738 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Nanyang Technological University |
語言: | English |
相似書籍
-
Development of nitride-based optical phased array at 1092 nm for the optical addressing of ⁸⁸Sr+ Ion
由: Lim, Yu Dian, et al.
出版: (2023) -
Development of grating for the optical addressing of Sr+ ions with data analysis techniques
由: Lim, Yu Dian, et al.
出版: (2023) -
Modeling and predicting the beam properties from grating structures using deep neural network
由: Lim, Yu Dian, et al.
出版: (2024) -
Recognizing beam profiles from silicon photonics gratings using a transformer model
由: Lim, Yu Dian, et al.
出版: (2024) -
Design of a liquid crystal beam-steerable antenna with characteristic mode analysis
由: Shu, Jun, et al.
出版: (2022)