Descrizione del progetto
Un nuovo modello informatico potrebbe portare i dispositivi quantistici a semiconduttore più vicini alla realtà
L’obiettivo ambizioso del progetto PRESQUE, che ha ricevuto un finanziamento nell’ambito del programma Marie Skłodowska-Curie, è quello di sviluppare un modello informatico per prevedere le modalità di funzionamento dei prossimi transistor quantistici a base di silicio. Saranno impiegati algoritmi di apprendimento automatico per ridurre ulteriormente il tempo necessario per ottimizzare la progettazione dei transistor. Il progetto dovrebbe dare un contributo inestimabile alle tecnologie abilitanti fondamentali dell’UE e promuovere la digitalizzazione quantistica. Le tecnologie quantistiche e l’intelligenza artificiale sono attualmente alla base della ricerca e dello sviluppo e degli investimenti industriali in Europa in quanto possono portare grandi trasformazioni nella produzione e nell’economia digitali.
Obiettivo
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 quantum transistor, giving access to accurate predictions that can decrease the costs involved in designing a quantum circuit. Machine Learning algorithms will be employed for further decreasing the time it takes to optimize the design in a fraction of the original. This project is expected to be an invaluable addition to the enabling technologies for the EU research and innovation and its goals for 'quantum digitization'.
The work will be undertaken by Dr. Eleni Chatzikyriakou, with an interdisciplinary background and expertise in the development of computational methods for electron device operation and will be supervised by Dr. Xavier Waintal, that has twenty years of experience in computational studies of various physical phenomena in the quantum regime, and is the leading coordinator of the open source software for quantum transport Kwant.
The fellow will be part of a highly specialized group in quantum technologies and will have the opportunity to significantly broaden her knowledge in both quantum technology and Machine Learning through the training and implementation of the action. It is therefore expected that, together with the training in leading and management skills, by the end of the fellowship, she will be in a position to take on leading positions and coordinate interdisciplinary actions by taking advantage of her own and the new networking opportunities that will arise in the fields of (Opto)Electronic Engineering, Computer Science and Physics.
Campo scientifico
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineering
- natural sciencescomputer and information sciencescomputational science
- natural sciencesphysical scienceselectromagnetism and electronicssemiconductivity
- natural scienceschemical sciencesinorganic chemistrymetalloids
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Programma(i)
Argomento(i)
Meccanismo di finanziamento
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Coordinatore
38058 Grenoble
Francia