CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.
I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .
Risultati finali
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 (si apre in una nuova finestra)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 (si apre in una nuova finestra)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 (si apre in una nuova finestra)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 (si apre in una nuova finestra)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 (si apre in una nuova finestra)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.
Pubblicazioni
Autori:
Didier Felbacq, Emmanuel Rousseau, Emmanuel Kling
Pubblicato in:
Active Photonic Platforms (APP), 2024
Editore:
Active Photonic Platforms (APP)
DOI:
10.1117/12.3027578
Autori:
Finlay Potter, Alexandre Zagoskin, Sergey Savel'ev, Alexander G. Balanov
Pubblicato in:
Physical Review A, Numero 110, 2024, ISSN 2469-9926
Editore:
American Physical Society (APS)
DOI:
10.1103/PhysRevA.110.042604
Autori:
Finlay Potter, Alexandre Zagoskin, Sergey Savel'ev, Alexander G. Balanov
Pubblicato in:
Physical Review A, Numero 110, 2024, ISSN 2469-9926
Editore:
American Physical Society (APS)
DOI:
10.1103/PHYSREVA.110.042604
Autori:
Anton Pershin, András Tárkányi, Vladimir Verkhovlyuk, Viktor Ivády, Adam Gali
Pubblicato in:
2025
Editore:
arXivLabs
DOI:
10.48550/ARXIV.2501.00180
È in corso la ricerca di dati su OpenAIRE...
Si è verificato un errore durante la ricerca dei dati su OpenAIRE
Nessun risultato disponibile