Topology-Enhanced Superconducting Qubit Networks for In-Sensor Quantum Information Processing

Fuente: arXiv
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Autori principali: Settino, J., Luciano, G. G., Di Bartolomeo, A., Silvestrini, P., Lisitskiy, M., Ruggiero, B., Romeo, F.
Natura: Preprint
Pubblicazione: 2025
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author Settino, J.
Luciano, G. G.
Di Bartolomeo, A.
Silvestrini, P.
Lisitskiy, M.
Ruggiero, B.
Romeo, F.
author_facet Settino, J.
Luciano, G. G.
Di Bartolomeo, A.
Silvestrini, P.
Lisitskiy, M.
Ruggiero, B.
Romeo, F.
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2507_13228
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Topology-Enhanced Superconducting Qubit Networks for In-Sensor Quantum Information Processing
Settino, J.
Luciano, G. G.
Di Bartolomeo, A.
Silvestrini, P.
Lisitskiy, M.
Ruggiero, B.
Romeo, F.
Quantum Physics
Disordered Systems and Neural Networks
Mesoscale and Nanoscale Physics
Superconductivity
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.
title Topology-Enhanced Superconducting Qubit Networks for In-Sensor Quantum Information Processing
topic Quantum Physics
Disordered Systems and Neural Networks
Mesoscale and Nanoscale Physics
Superconductivity
url https://arxiv.org/abs/2507.13228