Quantum reservoir computing for efficient signal processing

Informacje na temat projektu

QRC-4-ESP

Identyfikator umowy o grant: 101129663

DOI

10.3030/101129663

Data podpisania przez KE 27 Października 2023

Data rozpoczęcia 1 Stycznia 2024

Data zakończenia 31 Grudnia 2026

Finansowanie w ramach

• The European Innovation Council (EIC)

Koszt całkowity

€ 2 522 411,25

Wkład UE

€ 2 522 411,25

Koordynowany przez

LEIBNIZ-INSTITUT FUER PHOTONISCHE TECHNOLOGIEN E.V.
Germany

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

Documents, reports (5)

Report on point defect quantum systems in the presence of input-output signal and intrinsic decoherence and ambient noise

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

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

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

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

A report documenting the Dissemination and Communication Plan over the course of the project.

Demonstrators, pilots, prototypes (2)

Fabricated and optimised and tested 5-qubit QR

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

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

Conference proceedings (1)

Computing on the verge of chaos: classical and quantum reservoirs

Autorzy: Didier Felbacq, Emmanuel Rousseau, Emmanuel Kling
Opublikowane w: Active Photonic Platforms (APP), 2024
Wydawca: Active Photonic Platforms (APP)
DOI: 10.1117/12.3027578

Peer reviewed articles (1)

Hysteresis and self-oscillations in an artificial memristive quantum neuron

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

Other (1)

A Coherence-Protection Scheme for Quantum Sensors Based on Ultra-Shallow Single Nitrogen-Vacancy Centers in Diamond

Autorzy: Anton Pershin, András Tárkányi, Vladimir Verkhovlyuk, Viktor Ivády, Adam Gali
Opublikowane w: 2025
Wydawca: arXivLabs
DOI: 10.48550/ARXIV.2501.00180