Topology-enhanced superconducting qubit networks for in-sensor quantum information processing

We investigate the influence of topology on the magnetic response of inductively coupled superconducting flux-qubit networks. Using exact diagonalization methods and linear response theory, we compare the magnetic response of linear and cross-shaped array geometries, used as paradigmatic examples. W...

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Autores: Settino, J., Luciano, Giuseppe Gaetano, Bartolomeo, A. Di, Silvestrini, P., Lisitskiy, M., Ruggiero, B., Romeo, F.
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2026
País:España
Recursos:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositório:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:dnet:recercat____::7c136e853bce5cac7d3b0bc3984801f5
Acesso em linha:https://doi.org/10.1088/2058-9565/ae2201
https://hdl.handle.net/10459.1/469875
Access Level:Acceso aberto
Palavra-chave:Superconducting qubit networks
Magnetic flux response
Quantum reservoir computing
Network topology effects
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spelling Topology-enhanced superconducting qubit networks for in-sensor quantum information processingSettino, J.Luciano, Giuseppe GaetanoBartolomeo, A. DiSilvestrini, P.Lisitskiy, M.Ruggiero, B.Romeo, F.Superconducting qubit networksMagnetic flux responseQuantum reservoir computingNetwork topology effectsWe investigate the influence of topology on the magnetic response of inductively coupled superconducting flux-qubit networks. Using exact diagonalization methods and linear response theory, we compare the magnetic response of linear and cross-shaped array geometries, used as paradigmatic examples. We find that the peculiar coupling matrix in cross-shaped arrays yields a significant enhancement of the magnetic flux response compared to linear arrays, this network-topology effect arising from cooperative coupling among the central and the peripheral qubits. These results establish quantitative design criteria for function-oriented superconducting quantum circuits, with direct implications for advancing performance in both quantum sensing and quantum information processing applications. Concerning the latter, by exploiting the non-linear and high-dimensional dynamics of such arrays, we demonstrate their suitability for quantum reservoir computing technology. This dual functionality suggests a novel platform in which the same device serves both as a quantum-limited electromagnetic sensor and as a reservoir capable of signal processing, enabling integrated quantum sensing and processing architectures.IOP Publishing Ltd2026info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://doi.org/10.1088/2058-9565/ae2201https://hdl.handle.net/10459.1/469875https://hdl.handle.net/10459.1/469875reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésReproducció del document publicat a https://doi.org/10.1088/2058-9565/ae2201Quantum Science and Technology, 2026, vol. 11, núm. 1, p. 1-20cc-by (c) Settino et al., 2026Attribution 4.0 Internationalinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/oai:dnet:recercat____::7c136e853bce5cac7d3b0bc3984801f52026-05-29T05:05:01Z
dc.title.none.fl_str_mv Topology-enhanced superconducting qubit networks for in-sensor quantum information processing
title Topology-enhanced superconducting qubit networks for in-sensor quantum information processing
spellingShingle Topology-enhanced superconducting qubit networks for in-sensor quantum information processing
Settino, J.
Superconducting qubit networks
Magnetic flux response
Quantum reservoir computing
Network topology effects
title_short Topology-enhanced superconducting qubit networks for in-sensor quantum information processing
title_full Topology-enhanced superconducting qubit networks for in-sensor quantum information processing
title_fullStr Topology-enhanced superconducting qubit networks for in-sensor quantum information processing
title_full_unstemmed Topology-enhanced superconducting qubit networks for in-sensor quantum information processing
title_sort Topology-enhanced superconducting qubit networks for in-sensor quantum information processing
dc.creator.none.fl_str_mv Settino, J.
Luciano, Giuseppe Gaetano
Bartolomeo, A. Di
Silvestrini, P.
Lisitskiy, M.
Ruggiero, B.
Romeo, F.
author Settino, J.
author_facet Settino, J.
Luciano, Giuseppe Gaetano
Bartolomeo, A. Di
Silvestrini, P.
Lisitskiy, M.
Ruggiero, B.
Romeo, F.
author_role author
author2 Luciano, Giuseppe Gaetano
Bartolomeo, A. Di
Silvestrini, P.
Lisitskiy, M.
Ruggiero, B.
Romeo, F.
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Superconducting qubit networks
Magnetic flux response
Quantum reservoir computing
Network topology effects
topic Superconducting qubit networks
Magnetic flux response
Quantum reservoir computing
Network topology effects
description We investigate the influence of topology on the magnetic response of inductively coupled superconducting flux-qubit networks. Using exact diagonalization methods and linear response theory, we compare the magnetic response of linear and cross-shaped array geometries, used as paradigmatic examples. We find that the peculiar coupling matrix in cross-shaped arrays yields a significant enhancement of the magnetic flux response compared to linear arrays, this network-topology effect arising from cooperative coupling among the central and the peripheral qubits. These results establish quantitative design criteria for function-oriented superconducting quantum circuits, with direct implications for advancing performance in both quantum sensing and quantum information processing applications. Concerning the latter, by exploiting the non-linear and high-dimensional dynamics of such arrays, we demonstrate their suitability for quantum reservoir computing technology. This dual functionality suggests a novel platform in which the same device serves both as a quantum-limited electromagnetic sensor and as a reservoir capable of signal processing, enabling integrated quantum sensing and processing architectures.
publishDate 2026
dc.date.none.fl_str_mv 2026
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.1088/2058-9565/ae2201
https://hdl.handle.net/10459.1/469875
https://hdl.handle.net/10459.1/469875
url https://doi.org/10.1088/2058-9565/ae2201
https://hdl.handle.net/10459.1/469875
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a https://doi.org/10.1088/2058-9565/ae2201
Quantum Science and Technology, 2026, vol. 11, núm. 1, p. 1-20
dc.rights.none.fl_str_mv cc-by (c) Settino et al., 2026
Attribution 4.0 International
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
rights_invalid_str_mv cc-by (c) Settino et al., 2026
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv IOP Publishing Ltd
publisher.none.fl_str_mv IOP Publishing Ltd
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.811543

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