CORDIS Project
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This project focuses on developing a predictive model for silicon quantum transistors using machine learning. It aims to optimize the design process, making it more efficient and cost-effective, thereby advancing quantum technology applications.
Quantum technologies and Artificial Intelligence are currently leading R&D and industrial investments of Europe due to their potential to bring large transformations in the digital economy and manufacturing of EU.
This project will be based in the research and technology ecosystem of Grenoble, in France, hosted in a Joint Research Unit of Université Grenoble Alpes and CEA.
The aim of the project will be to develop a computer-assisted model able to predict the modes of operation of a silicon qua…
UNIVERSITE GRENOBLE ALPES
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