Descripción del proyecto DEENESFRITPL Un nuevo modelo informático podría acercar los dispositivos semiconductores cuánticos a la realidad El ambicioso objetivo del proyecto PRESQUE, financiado en el marco de las Acciones Marie Skłodowska-Curie, es desarrollar un modelo informático para predecir los modos de funcionamiento de los próximos transistores cuánticos a base de silicio. Se utilizarán algoritmos de aprendizaje automático para reducir todavía más el tiempo que lleva el diseño del transistor. Se espera que el proyecto haga una contribución inestimable a tecnologías facilitadoras esenciales de la Unión Europea y que fomente la digitalización cuántica. Las tecnologías cuánticas y la inteligencia artificial sustentan actualmente la investigación, el desarrollo y las inversiones industriales en Europa debido a su potencial para brindar grandes transformaciones en la economía y la fabricación digitales. Mostrar el objetivo del proyecto Ocultar el objetivo del proyecto Objetivo 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. Ámbito científico engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringnatural sciencescomputer and information sciencescomputational sciencenatural sciencesphysical scienceselectromagnetism and electronicssemiconductivitynatural scienceschemical sciencesinorganic chemistrymetalloidsnatural sciencescomputer and information sciencesartificial intelligencemachine learning Programa(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Tema(s) MSCA-IF-2018 - Individual Fellowships Convocatoria de propuestas H2020-MSCA-IF-2018 Consulte otros proyectos de esta convocatoria Régimen de financiación MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF) Coordinador UNIVERSITE GRENOBLE ALPES Aportación neta de la UEn € 184 707,84 Dirección 621 AVENUE CENTRALE 38058 Grenoble Francia Ver en el mapa Región Auvergne-Rhône-Alpes Rhône-Alpes Isère Tipo de actividad Higher or Secondary Education Establishments Enlaces Contactar con la organización Opens in new window Participación en los programas de I+D de la UE Opens in new window Red de colaboración de HORIZON Opens in new window Coste total € 184 707,84
