Quantum reservoir computing for efficient signal processing

Informations projet

QRC-4-ESP

N° de convention de subvention: 101129663

DOI

10.3030/101129663

Date de signature de la CE 27 Octobre 2023

Date de début 1 Janvier 2024

Date de fin 31 Decembre 2026

Financé au titre de

• The European Innovation Council (EIC)

Coût total

€ 2 522 411,25

Contribution de l’UE

€ 2 522 411,25

Coordonné par

LEIBNIZ-INSTITUT FUER PHOTONISCHE TECHNOLOGIEN E.V.
Germany

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

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.

Publications

Conference proceedings (1)

Computing on the verge of chaos: classical and quantum reservoirs

Auteurs: Didier Felbacq, Emmanuel Rousseau, Emmanuel Kling
Publié dans: Active Photonic Platforms (APP), 2024
Éditeur: Active Photonic Platforms (APP)
DOI: 10.1117/12.3027578

Peer reviewed articles (12)

Hysteresis and self-oscillations in an artificial memristive quantum neuron

Auteurs: Potter, Finlay; Zagoskin, Alexandre; Savel'ev, Sergey; Balanov, Alexander G.
Publié dans: Physical Review A, 2024, ISSN 2469-9934
Éditeur: American Physical Society
DOI: 10.48550/ARXIV.2405.00624

Understanding Decoherence of the Boron Vacancy Center in Hexagonal Boron Nitride

Auteurs: Tarkanyi, Andras; Ivady, Viktor
Publié dans: Advanced Functional Materials, 2025, ISSN 1616-3028
Éditeur: Wiley
DOI: 10.48550/ARXIV.2505.03292

Coherent Control of Nitrogen Nuclear Spins via the VB−‐Center in Hexagonal Boron Nitride

Auteurs: Adalbert Tibiássy; Charlie J. Patrickson; Thomas Poirier; James H. Edgar; Bruno Lopez‐Rodriguez; Viktor Ivády; Isaac J. Luxmoore
Publié dans: Advanced Functional Materials, 2026, ISSN 1616-3028
Éditeur: Wiley
DOI: 10.48550/ARXIV.2509.22257

Quantum reservoir computing on random regular graphs

Auteurs: Moein N. Ivaki; Achilleas Lazarides; Tapio Ala-Nissila
Publié dans: Physical Review A, 2025, ISSN 2469-9926
Éditeur: American Physical Society
DOI: 10.48550/ARXIV.2409.03665

Hysteresis and self-oscillations in an artificial memristive quantum neuron

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

Minimal quantum reservoirs with Hamiltonian encoding

Auteurs: Gerard McCaul; Juan Sebastian Totero Gongora; Wendy Otieno; Sergey Savel’ev; Alexandre Zagoskin; Alexander G. Balanov
Publié dans: Chaos: An Interdisciplinary Journal of Nonlinear Science, 2025, ISSN 1089-7682
Éditeur: AIP Publishing
DOI: 10.48550/ARXIV.2505.22575

Vanadium photoluminescence in 3C-SiC

Auteurs: Danial Shafizadeh; Valdas Jokubavicius; Koichi Murata; Hidekazu Tsuchida; Péter Udvarhelyi; Guodong Bian; Oliver Lang; Merve Karaman; Diego Haya Enriquez; Moritz Brehm; Thomas Fromherz; Michael Trupke; Jianwu Sun; Rositsa Yakimova; Igor A. Abrikosov; Nguyen T. Son; Adam Gali; Ivan G. Ivanov
Publié dans: Physical Review B, 2026, ISSN 2469-9969
Éditeur: American Physical Society
DOI: 10.1103/NV8V-GWLV

Comparative study of divacancies in 3C-, 4H-, and 6H-SiC

Auteurs: Danial Shafizadeh; Joel Davidsson; Takeshi Ohshima; Nguyen Tien Son; Ivan G. Ivanov
Publié dans: Applied Physics Letters, 2025, ISSN 1077-3118
Éditeur: AIP Publishing
DOI: 10.48550/ARXIV.2503.02757

Identifying high-energy electronic states of NV− centers in diamond

Auteurs: Minh Tuan Luu; Christopher Linderälv; Zsolt Benedek; Ádám Ganyecz; Gergely Barcza; Viktor Ivády; Ronald Ulbricht
Publié dans: Applied Physics Letters, 2025, ISSN 1077-3118
Éditeur: AIP Publishing
DOI: 10.48550/ARXIV.2503.04309

Noise resilience in adaptive and symmetric monitored quantum circuits

Auteurs: Ivaki, Moein N.; Ojanen, Teemu; Moghaddam, Ali G.
Publié dans: npj Quantum Information, 2025, ISSN 2056-6387
Éditeur: Nature Publishing Group
DOI: 10.48550/ARXIV.2410.14784

"Evolution of the optically detected magnetic resonance spectra of divacancies in 4 <mml:math xmlns:mml=""http://www.w3.org/1998/Math/MathML""><mml:mi>H</mml:mi></mml:math> -SiC from liquid-helium to room temperature"

Auteurs: Danial Shafizadeh; Nguyen T. Son; Igor A. Abrikosov; Ivan G. Ivanov
Publié dans: Physical Review B, 2025, ISSN 2469-9969
Éditeur: American Physical Society
DOI: 10.1103/PHYSREVB.111.165201

Carbon-contaminated topological defects in hexagonal boron nitride for quantum photonics

Auteurs: Rohit Babar; Ádám Ganyecz; Igor A. Abrikosov; Gergely Barcza; Viktor Ivády
Publié dans: npj 2D Materials and Applications, 2025, ISSN 2397-7132
Éditeur: Springer Nature
DOI: 10.48550/ARXIV.2403.00755

Other (1)

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

Auteurs: Anton Pershin, András Tárkányi, Vladimir Verkhovlyuk, Viktor Ivády, Adam Gali
Publié dans: 2025
Éditeur: arXivLabs
DOI: 10.48550/ARXIV.2501.00180