51 citations · 213 across the 11 of their papers we have counts for
26 papers · 1 filter
Experimental Quantum Embedding for Machine Learning
Ilaria Gianani, Ivana Mastroserio, Lorenzo Buffoni +6
The classification of big data usually requires a mapping onto new data clusters which can then be processed by machine learning algorithms by means of more efficient and feasible…
Robust calibration of multiparameter sensors via machine learning at the single-photon level
Valeria Cimini, Emanuele Polino, Mauro Valeri +7
Calibration of sensors is a fundamental step to validate their operation. This can be a demanding task, as it relies on acquiring a detailed modelling of the device, aggravated by…
Experimental quantum-enhanced response function estimation
Ilaria Gianani, Francesco Albarelli, Valeria Cimini +1
Characterizing a system often demands learning its response function to an applied field. Such knowledge is rooted on the experimental evaluation of punctual fiducial response and…
Compressively certifying quantum measurements
I. Gianani, Y. S. Teo, V. Cimini +4
We introduce a reliable compressive procedure to uniquely characterize any given low-rank quantum measurement using a minimal set of probe states that is based solely on data colle…
Experimental witnessing of the quantum channel capacity in the presence of correlated noise
Valeria Cimini, Ilaria Gianani, Massimiliano F. Sacchi +2
We present an experimental method to detect lower bounds to the quantum capacity of two-qubit communication channels. We consider an implementation with polarisation degrees of fre…
Multiphase estimation without a reference mode
Aaron Z. Goldberg, Ilaria Gianani, Marco Barbieri +3
Multiphase estimation is a paradigmatic example of a multiparameter problem. When measuring multiple phases embedded in interferometric networks, specially-tailored input quantum s…