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quant-ph2026
Extreme Quantum Cognition Machines for Deliberative Decision Making
Francesco Romeo, Jacopo Settino
We introduce Extreme Quantum Cognition Machines, a class of quantum learning architectures for deliberative decision making that is tolerant to noisy and contradictory training dat…
quant-ph2025
Topology-Enhanced Superconducting Qubit Networks for In-Sensor Quantum Information Processing
J. Settino, G. G. Luciano, A. Di Bartolomeo +4
We investigate the influence of topology on the magnetic response of inductively coupled superconducting flux-qubit networks. Using exact diagonalization methods and linear respons…
quant-ph2025
Probing graph topology from local quantum measurements
F. Romeo, J. Settino
We show that global properties of an unknown quantum network, such as the average degree, hub density, and the number of closed paths of fixed length, can be inferred from strictly…