Modeling and Predicting the Beam Properties from Grating Structures Using Deep Neural Network-Reference-Cited by-同舟云学术

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Modeling and Predicting the Beam Properties from Grating Structures Using Deep Neural Network

Published:2023-10-25 Issue: Volume: Page:
ISSN:
Container-title:2023 18th International Microsystems, Packaging, Assembly and Circuits Technology Conference (IMPACT)
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Author:

Lim Yu Dian¹,Zhao Peng¹,Guidoni Luca²,Likforman Jean-Pierre³,Tan Chuan Seng¹

Affiliation:

1. School of Electrical and Electronics Engineering, Nanyang Technological University,Singapore,639798

2. Université de Paris,Laboratoire Matériaux et Phénomènes Quantiques (MPQ),Paris,France,75013

3. Institute of Microelectronics, Agency for Science, Technology and Research,Singapore,117685

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10348606/10348630/10348767.pdf?arnumber=10348767

Reference9 articles.

1. Trapped-ion quantum computing: Progress and challenges

2. TSV-integrated surface electrode ion trap for scalable quantum information processing

3. Single Strontium Rydberg Ion Confined in a Paul Trap

4. Integrated optical multi-ion quantum logic

5. Design and Fabrication of Grating Couplers for the Optical Addressing of Trapped Ions

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