papers

Publications (11)

quant-ph2024

Broadband parametric amplification in DARTWARS

Marco Faverzani, Pietro Campana, Rodolfo Carobene +46

Superconducting parametric amplifiers offer the capability to amplify feeble signals with extremely low levels of added noise, potentially reaching quantum-limited amplification. T…

quant-ph2024

Design and simulation of a transmon qubit chip for Axion detection

Roberto Moretti, Hervè Atsè Corti, Danilo Labranca +54

Quantum Sensing is a rapidly expanding research field that finds one of its applications in Fundamental Physics, as the search for Dark Matter. Devices based on superconducting qub…

quant-ph2026

Achieving speedup in Dark Matter search experiments with a transmon-based NISQ algorithm

Roberto Moretti, Pietro Campana, Rodolfo Carobene +9

Coherent detection of ultralight bosonic dark matter can be achieved by monitoring slow Rabi oscillations in superconducting qubits. We introduce an ancilla-assisted, gate-based pr…

quant-ph2024

Development of KI-TWPAs for the DARTWARS project

Felix Ahrens, Elena Ferri, Guerino Avallone +40

Noise at the quantum limit over a broad bandwidth is a fundamental requirement for future cryogenic experiments for neutrino mass measurements, dark matter searches and Cosmic Micr…

physics.ins-det2025

Impact of embedded Ho on the performance of the transition-edge sensor microcalorimeters of the HOLMES experiment

Douglas Bennett, Matteo Borghesi, Pietro Campana +19

We present a detailed investigation of the performance of transition-edge sensor (TES) microcalorimeters with Ho atoms embedded by ion implantation, as part of the HOLMES e…

physics.geo-ph2020

A multi-decadal view of the heat and mass budget of a volcano in unrest: La Soufrière de Guadeloupe (French West Indies)

David E. Jessop, Séverine Moune, Roberto Moretti +11

Particularly in the presence of a hydrothermal system, many volcanoes output large quantities of heat through the transport of water from deep within the edifice to the surface. Th…

physics.ins-det2024

Machine learning-assisted techniques for Compton-background discrimination in Broad Energy Germanium (BEGe) detector

Giovanni Baccolo, Andrea Barresi, Davide Chiesa +8

High Purity Germanium (HPGe) detectors are powerful detectors for gamma-ray spectroscopy. The sensitivity to low-intensity gamma-ray peaks is often hindered by the presence of Comp…

cond-mat.supr-con2024

Nonlinear Behavior of Josephson Traveling Wave Parametric Amplifiers

Claudio Guarcello, Felix Ahrens, Guerino Avallone +40

Recent advancements in quantum technologies and advanced detection experiments have underscored the pressing need for the detection of exceedingly weak signals within the microwave…

quant-ph2024

Enhanced feature encoding and classification on distributed quantum hardware

Roberto Moretti, Andrea Giachero, Voica Radescu +1

The steady progress of quantum hardware is motivating the search for novel quantum algorithm optimization strategies for near-term, real-world applications. In this study, we propo…

physics.ins-det2024

Assessment of few-hits machine learning classification algorithms for low energy physics in liquid argon detectors

Roberto Moretti, Marco Rossi, Matteo Biassoni +6

The physics potential of massive liquid argon TPCs in the low-energy regime is still to be fully reaped because few-hits events encode information that can hardly be exploited by c…

physics.app-ph2023

High kinetic inductance NbTiN films for quantum limited travelling wave parametric amplifiers

Federica Mantegazzini, Felix Ahrens, Matteo Borghesi +13

A wide-bandwidth and low-noise amplification chain in the microwave regime is crucial for the efficient read-out of quantum systems based on superconducting detectors, such as Micr…