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

• URL: http://arxiv.org/abs/2507.13228v2
• Date: Fri, 10 Oct 2025 10:40:48 GMT
• Title: Topology-Enhanced Superconducting Qubit Networks for In-Sensor Quantum Information Processing
• Authors: J. Settino, G. G. Luciano, A. Di Bartolomeo, P. Silvestrini, M. Lisitskiy, B. Ruggiero, F. Romeo,
• Abstract summary: We investigate the influence of topology on the magnetic response of inductively coupled superconducting flux-qubit networks.<n>We find that the peculiar coupling matrix in cross-shaped arrays yields a significant enhancement of the magnetic flux response compared to linear arrays.<n>These results establish quantitative design criteria for function-oriented superconducting quantum circuits.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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