58 citations · 125 across the 3 of their papers we have counts for
3 papers
Experimental property-reconstruction in a photonic quantum extreme learning machine
Alessia Suprano, Danilo Zia, Luca Innocenti +10
Recent developments have led to the possibility of embedding machine learning tools into experimental platforms to address key problems, including the characterization of the prope…
Shadow tomography on general measurement frames
Luca Innocenti, Salvatore Lorenzo, Ivan Palmisano +4
We provide a new perspective on shadow tomography by demonstrating its deep connections with the general theory of measurement frames. By showing that the formalism of measurement…
Potential and limitations of quantum extreme learning machines
Luca Innocenti, Salvatore Lorenzo, Ivan Palmisano +3
Quantum reservoir computers (QRC) and quantum extreme learning machines (QELM) aim to efficiently post-process the outcome of fixed -- generally uncalibrated -- quantum devices to…