661 citations · 3.2k across the 67 of their papers we have counts for
67 papers
Quantum-Noise-Driven Generative Diffusion Models
Marco Parigi, Stefano Martina, Filippo Caruso
Generative models realized with machine learning techniques are powerful tools to infer complex and unknown data distributions from a finite number of training samples in order to…
Machine-learning based noise characterization and correction on neutral atoms NISQ devices
Ettore Canonici, Stefano Martina, Riccardo Mengoni +2
Neutral atoms devices represent a promising technology that uses optical tweezers to geometrically arrange atoms and modulated laser pulses to control the quantum states. A neutral…
Deep learning enhanced noise spectroscopy of a spin qubit environment
Stefano Martina, Santiago Hernández-Gómez, Stefano Gherardini +2
The undesired interaction of a quantum system with its environment generally leads to a coherence decay of superposition states in time. A precise knowledge of the spectral content…
Sensing microscopic noise events by frequent quantum measurements
Salvatore Virzì, Laura T. Knoll, Alessio Avella +8
We propose and experimentally demonstrate a general method allowing us to unravel microscopic noise events that affect a continuous quantum variable. Such unraveling is achieved by…
A hybrid-qudit representation of digital RGB images
Sreetama Das, Filippo Caruso
Quantum image processing is an emerging topic in the field of quantum information and technology. In this paper, we propose a new quantum image representation of RGB images, which…
Experimental realization of optimal time-reversal on an atom chip for quantum undo operations
Ivana Mastroserio, Stefano Gherardini, Cosimo Lovecchio +4
We report on the use of the dCRAB optimal control algorithm to realize time-reversal procedures for the implementation of quantum undo operations, to be applied in quantum technolo…