Project description
New computer model could bring semiconductor quantum devices closer to reality
The ambitious goal of the PRESQUE project, which received funding under the Marie Skłodowska-Curie Actions programme, is to develop a computer model for predicting the operation modes of upcoming silicon-based quantum transistors. Machine learning algorithms will be employed to further decrease the time it takes to optimise the transistor design. The project is expected to make an invaluable contribution to the EU's key enabling technologies and promote quantum digitisation. Quantum technologies and artificial intelligence currently underpin research and development and industrial investments in Europe due to their potential to bring large transformations in the digital economy and manufacturing.
Objective
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.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences software
- natural sciences computer and information sciences computational science
- natural sciences physical sciences electromagnetism and electronics semiconductivity
- natural sciences chemical sciences inorganic chemistry metalloids
- natural sciences computer and information sciences artificial intelligence machine learning
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
-
H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
See all projects funded under this programme -
H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
See all projects funded under this programme
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)
See all projects funded under this funding scheme
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2018
See all projects funded under this callCoordinator
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
38058 GRENOBLE
France
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.