518 citations · 1.7k across the 81 of their papers we have counts for
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Topology identification of autonomous quantum dynamical networks
Stefano Gherardini, Henk J. van Waarde, Pietro Tesi +1
Topology identification comprises reconstructing the interaction Hamiltonian of a quantum network by properly processing measurements of its density operator within a fixed time in…
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…
The role of quantum coherence in energy fluctuations
S. Gherardini, A. Belenchia, M. Paternostro +1
We discuss the role of quantum coherence in the energy fluctuations of open quantum systems. To this aim, we introduce a protocol, to which we refer to as the end-point-measurement…
Autonomous dissipative Maxwell's demon in a diamond spin qutrit
S. Hernández-Gómez, S. Gherardini, N. Staudenmaier +6
Engineered dynamical maps combining coherent and dissipative transformations of quantum states with quantum measurements, have demonstrated a number of technological applications,…
Quantum Zeno and Anti-Zeno probes of noise correlations in photon polarisation
Salvatore Virzi', Alessio Avella, Fabrizio Piacentini +8
We experimentally demonstrate, for the first time, noise diagnostics by repeated quantum measurements. Specifically, we establish the ability of a single photon, subjected to rando…
Transfer-tensor description of memory effects in open-system dynamics and multi-time statistics
Stefano Gherardini, Andrea Smirne, Susana F. Huelga +1
The non-Markovianity of an arbitrary open quantum system is analyzed in reference to the multi-time statistics given by its monitoring at discrete times. On the one hand, we exploi…
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…