CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.
Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .
Rezultaty
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 (odnośnik otworzy się w nowym oknie)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 (odnośnik otworzy się w nowym oknie)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 (odnośnik otworzy się w nowym oknie)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 (odnośnik otworzy się w nowym oknie)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 (odnośnik otworzy się w nowym oknie)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.
Publikacje
Autorzy:
Didier Felbacq, Emmanuel Rousseau, Emmanuel Kling
Opublikowane w:
Active Photonic Platforms (APP), 2024
Wydawca:
Active Photonic Platforms (APP)
DOI:
10.1117/12.3027578
Autorzy:
Finlay Potter, Alexandre Zagoskin, Sergey Savel'ev, Alexander G. Balanov
Opublikowane w:
Physical Review A, Numer 110, 2024, ISSN 2469-9926
Wydawca:
American Physical Society (APS)
DOI:
10.1103/PhysRevA.110.042604
Autorzy:
Finlay Potter, Alexandre Zagoskin, Sergey Savel'ev, Alexander G. Balanov
Opublikowane w:
Physical Review A, Numer 110, 2024, ISSN 2469-9926
Wydawca:
American Physical Society (APS)
DOI:
10.1103/PHYSREVA.110.042604
Autorzy:
Anton Pershin, András Tárkányi, Vladimir Verkhovlyuk, Viktor Ivády, Adam Gali
Opublikowane w:
2025
Wydawca:
arXivLabs
DOI:
10.48550/ARXIV.2501.00180
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