activity
20182026
most citedQuantum Measurement Cooling

184 citations · 612 across the 46 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

quant-ph2021★ 2 cited

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…

quant-ph2021★ 34 cited

New Trends in Quantum Machine Learning

Lorenzo Buffoni, Filippo Caruso

Here we will give a perspective on new possible interplays between Machine Learning and Quantum Physics, including also practical cases and applications. We will explore the ways i…

quant-ph2021★ 34 cited

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…

quant-ph2021★ 1 cited

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…

cs.LG2021★ 13 cited

On the training of sparse and dense deep neural networks: less parameters, same performance

Lorenzo Chicchi, Lorenzo Giambagli, Lorenzo Buffoni +3

Deep neural networks can be trained in reciprocal space, by acting on the eigenvalues and eigenvectors of suitable transfer operators in direct space. Adjusting the eigenvalues, wh…

cond-mat.stat-mech2021★ 19 cited

Spontaneous fluctuation-symmetry breaking and the Landauer principle

Lorenzo Buffoni, Michele Campisi

We study the problem of the energetic cost of information erasure by looking at it through the lens of the Jarzynski equality. We observe that the Landauer bound, $\langle W \rangl…

cond-mat.dis-nn2021★ 2 cited

Mobility-based prediction of SARS-CoV-2 spreading

Lorenzo Chicchi, Lorenzo Giambagli, Lorenzo Buffoni +1

The rapid spreading of SARS-CoV-2 and its dramatic consequences, are forcing policymakers to take strict measures in order to keep the population safe. At the same time, societal a…