36 citations · 179 across the 12 of their papers we have counts for
3 papers · 1 filter
Learning the noise fingerprint of quantum devices
Stefano Martina, Lorenzo Buffoni, Stefano Gherardini +1
Noise sources unavoidably affect any quantum technological device. Noise's main features are expected to strictly depend on the physical platform on which the quantum device is rea…
Quantum Reinforcement Learning: the Maze problem
Nicola Dalla Pozza, Lorenzo Buffoni, Stefano Martina +1
Quantum Machine Learning (QML) is a young but rapidly growing field where quantum information meets machine learning. Here, we will introduce a new QML model generalizing the class…
Machine learning classification of non-Markovian noise disturbing quantum dynamics
Stefano Martina, Stefano Gherardini, Filippo Caruso
In this paper machine learning and artificial neural network models are proposed for the classification of external noise sources affecting a given quantum dynamics. For this purpo…