activity
20232026
collaborators
Showing quant-phShow all

10 papers · 1 filter

quant-ph2026

Fast, high-fidelity Transmon readout with intrinsic Purcell protection via nonperturbative cross-Kerr coupling

Guillaume Beaulieu, Jun-Zhe Chen, Marco Scigliuzzo +5

Dispersive readout of superconducting qubits relies on a transverse capacitive coupling that hybridizes the qubit with the readout resonator, subjecting the qubit to Purcell decay…

quant-ph2025

Superstrong Dynamics and Directional Emission of a Giant Atom in a Structured Bath

Vincent Jouanny, Léo Peyruchat, Marco Scigliuzzo +8

Quantum emitters coupled to waveguides with nonlinear dispersion show rich quantum dynamics with the promise of implementing non-trivial non-Markovian quantum models. Recent advanc…

quant-ph2025

Emergent cavity-QED dynamics along the edge of a photonic lattice

Enrico Di Benedetto, Xuejian Sun, Marcel A. Pinto +6

We investigate qubits coupled to the boundary of a two dimensional photonic lattice that supports dispersionless edge modes, unlike conventional edge modes that sustain propagating…

quant-ph2025

Quantum Acoustics with Tunable Nonlinearity in the Superstrong Coupling Regime

Marco Scigliuzzo, Léo Peyruchat, Riccardo Maria Marabini +4

Precise control of mechanical modes in the quantum regime is a key resource for quantum technologies, offering promising pathways for quantum sensing with macroscopic systems and s…

quant-ph2025

Study of Magnetic Field Resilient High Impedance High-Kinetic Inductance Superconducting Resonators

Camille Roy, Simone Frasca, Pasquale Scarlino

Superconducting resonators with high-kinetic inductance play a central role in hybrid quantum circuits, enabling strong coupling with quantum systems with small electric dipole mom…

quant-ph2024

Criticality-Enhanced Quantum Sensing with a Parametric Superconducting Resonator

Guillaume Beaulieu, Fabrizio Minganti, Simone Frasca +4

Quantum metrology, a cornerstone of quantum technologies, exploits entanglement and superposition to achieve higher precision than classical protocols in parameter estimation tasks…