H2020Индивидуална стипендия2019–2022

PRESQUE · A predicting platform for designing semiconductor quantum devices

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период: 2019-09-01 → 2022-03-03
Финансиране от ЕС: 184 708 €
Участници: 1
Схема: MSCA-IF

Линиите свързват координатора с партньорите.

Накратко на български

Разработва се модел за симулация на физичните процеси в квантовите точкови контакти, които са основа на електронните кубити. Това помага за оптимизиране на дизайна на полупроводникови квантови устройства и подобрява технологичната инфраструктура на Европейския съюз.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

A predicting platform for designing semiconductor quantum devices

This project is concerned with the development of a simulation model that is able to solve for the Physics that occurs inside a Quantum Point Contact, a basic component in an electron flying qubit device. The objective is i) to provide the first concerted demonstration of quantitative calculations on semiconducting quantum devices, in agreement with experimental data, and ii) setting-up the procedures for predicting optimum designs for various components of this semiconducting quantum technology. This objective is of specific interest to the EU digital economy, whose simulation infrastructure on semiconducting qubits (currently considered its specialty) is lagging behind equivalent technologies undertaken by other non-EU countries. It was therefore a timely achievement to support and expand the present quantum technology infrastructure, a strategic goal for the EU.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

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.

Оригинален текст от CORDIS (на английски).

Участници

UNIVERSITE GRENOBLE ALPES · GrenobleКоординаторФранция