Quantum reservoir computing for efficient signal processing

Informazioni relative al progetto

QRC-4-ESP

ID dell’accordo di sovvenzione: 101129663

DOI

10.3030/101129663

Data della firma CE 27 Ottobre 2023

Data di avvio 1 Gennaio 2024

Data di completamento 31 Dicembre 2026

Finanziato da

• The European Innovation Council (EIC)

Costo totale

€ 2 522 411,25

Contributo UE

€ 2 522 411,25

Coordinato da

LEIBNIZ-INSTITUT FUER PHOTONISCHE TECHNOLOGIEN E.V.
Germany

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

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.

Pubblicazioni

Conference proceedings (1)

Computing on the verge of chaos: classical and quantum reservoirs

Autori: Didier Felbacq, Emmanuel Rousseau, Emmanuel Kling
Pubblicato in: Active Photonic Platforms (APP), 2024
Editore: Active Photonic Platforms (APP)
DOI: 10.1117/12.3027578

Peer reviewed articles (12)

Hysteresis and self-oscillations in an artificial memristive quantum neuron

Autori: Potter, Finlay; Zagoskin, Alexandre; Savel'ev, Sergey; Balanov, Alexander G.
Pubblicato in: Physical Review A, 2024, ISSN 2469-9934
Editore: American Physical Society
DOI: 10.48550/ARXIV.2405.00624

Understanding Decoherence of the Boron Vacancy Center in Hexagonal Boron Nitride

Autori: Tarkanyi, Andras; Ivady, Viktor
Pubblicato in: Advanced Functional Materials, 2025, ISSN 1616-3028
Editore: Wiley
DOI: 10.48550/ARXIV.2505.03292

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

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

Quantum reservoir computing on random regular graphs

Autori: Moein N. Ivaki; Achilleas Lazarides; Tapio Ala-Nissila
Pubblicato in: Physical Review A, 2025, ISSN 2469-9926
Editore: American Physical Society
DOI: 10.48550/ARXIV.2409.03665

Hysteresis and self-oscillations in an artificial memristive quantum neuron

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

Minimal quantum reservoirs with Hamiltonian encoding

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

Vanadium photoluminescence in 3C-SiC

Autori: 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
Pubblicato in: Physical Review B, 2026, ISSN 2469-9969
Editore: American Physical Society
DOI: 10.1103/NV8V-GWLV

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

Autori: Danial Shafizadeh; Joel Davidsson; Takeshi Ohshima; Nguyen Tien Son; Ivan G. Ivanov
Pubblicato in: Applied Physics Letters, 2025, ISSN 1077-3118
Editore: AIP Publishing
DOI: 10.48550/ARXIV.2503.02757

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

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

Noise resilience in adaptive and symmetric monitored quantum circuits

Autori: Ivaki, Moein N.; Ojanen, Teemu; Moghaddam, Ali G.
Pubblicato in: npj Quantum Information, 2025, ISSN 2056-6387
Editore: 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"

Autori: Danial Shafizadeh; Nguyen T. Son; Igor A. Abrikosov; Ivan G. Ivanov
Pubblicato in: Physical Review B, 2025, ISSN 2469-9969
Editore: American Physical Society
DOI: 10.1103/PHYSREVB.111.165201

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

Autori: Rohit Babar; Ádám Ganyecz; Igor A. Abrikosov; Gergely Barcza; Viktor Ivády
Pubblicato in: npj 2D Materials and Applications, 2025, ISSN 2397-7132
Editore: 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

Autori: Anton Pershin, András Tárkányi, Vladimir Verkhovlyuk, Viktor Ivády, Adam Gali
Pubblicato in: 2025
Editore: arXivLabs
DOI: 10.48550/ARXIV.2501.00180