CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.
Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .
Livrables
A range of point defect-based structures will be fabricated. A comprehensive set of experiments will be conducted to determine their behaviour in a wide range of conditions. Results will be systematized, analysed and reported to improve the quantitative defect-based QR model (D1.4).
Project logo and website and social media accounts (s’ouvre dans une nouvelle fenêtre)A project logo and website will be prepared and made available on the internet. This short report will describe the logo and website structure and main characteristics. Also, social media accounts (Twitter, LinkedIn) will be created to disseminate project news, which will be described in the short report.
Quantitative model of defect-based QR (s’ouvre dans une nouvelle fenêtre)A mathematical description of a quantum reservoir (QR) structure comprising several defect-based quantum bits will be developed, under realistic assumptions about its design and its environment. Based on this description, a numerical model of the system will be built, which will allow to make quantitative predictions of the behaviour of the QR in the presence of the external signal, controls, and ambient noise. The model will be used to simulate the QR in a wide range of parameters in order to find the optimal design parameters and the regime of its operation (D3.1-3), and to train the software-implemented neural network (D4.1).
Quantitative model of superconducting QR (s’ouvre dans une nouvelle fenêtre)A mathematical description of a quantum reservoir (QR) structure comprising several superconducting quantum bits will be developed, under realistic assumptions about its design and its environment. Based on this description, a numerical model of the system will be built, which will allow to make quantitative predictions of the behaviour of the QR in the presence of the external signal, controls, and ambient noise. The model will be used to simulate the QR in a wide range of parameters in order to find the optimal design parameters and the regime of its operation (D2.1-4), and to train the software-implemented neural network (D4.1).
Dissemination and communication plan - initial version (s’ouvre dans une nouvelle fenêtre)A report documenting the Dissemination and Communication Plan over the course of the project.
A 5-qubit superconducting QR will be designed and fabricated, tested and characterised. Results will be analysed and reported to improve the quantitative superconducting QR model (D1.3).
Software implementation of neural network for QRC (s’ouvre dans une nouvelle fenêtre)A numerical model of a neural network for the processing of a QR output will be developed. Corresponding software will be developed and tested using the inputs from quantitative models as well as from actual experimental QR implementations.
Publications
Auteurs:
Didier Felbacq, Emmanuel Rousseau, Emmanuel Kling
Publié dans:
Active Photonic Platforms (APP), 2024
Éditeur:
Active Photonic Platforms (APP)
DOI:
10.1117/12.3027578
Auteurs:
Finlay Potter, Alexandre Zagoskin, Sergey Savel'ev, Alexander G. Balanov
Publié dans:
Physical Review A, Numéro 110, 2024, ISSN 2469-9926
Éditeur:
American Physical Society (APS)
DOI:
10.1103/PhysRevA.110.042604
Auteurs:
Finlay Potter, Alexandre Zagoskin, Sergey Savel'ev, Alexander G. Balanov
Publié dans:
Physical Review A, Numéro 110, 2024, ISSN 2469-9926
Éditeur:
American Physical Society (APS)
DOI:
10.1103/PHYSREVA.110.042604
Auteurs:
Anton Pershin, András Tárkányi, Vladimir Verkhovlyuk, Viktor Ivády, Adam Gali
Publié dans:
2025
Éditeur:
arXivLabs
DOI:
10.48550/ARXIV.2501.00180
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