105 citations · 336 across the 28 of their papers we have counts for
5 papers · 2 filters
Testing Noise Correlations by an AI-Assisted Two-Qubit Quantum Sensor
Dario Fasone, Shreyasi Mukherjee, Mauro Paternostro +3
We introduce and validate a machine learning-assisted protocol to classify time and space correlations of classical noise acting on a quantum system, using two interacting qubits a…
Machine Learning-Aided Optimal Control of a Qubit Subjected to External Noise
Riccardo Cantone, Shreyasi Mukherjee, Luigi Giannelli +2
We apply a machine-learning-enhanced greybox framework to a quantum optimal control protocol for open quantum systems. Combining a whitebox physical model with a neural-network bla…
Detection of noise correlations in two qubit systems by Machine Learning
Dario Fasone, Shreyasi Mukherjee, Dario Penna +5
We introduce and validate a machine-learning assisted quantum sensing protocol to classify spatial and temporal correlations of classical noise affecting two ultrastrongly coupled…
Machine Learning-aided Optimal Control of a noisy qubit
Riccardo Cantone, Shreyasi Mukherjee, Luigi Giannelli +2
We apply a graybox machine-learning framework to model and control a qubit undergoing Markovian and non-Markovian dynamics from environmental noise. The approach combines physics-i…
Channel capacity of small modular quantum networks in the ultrastrongly coupled regime
Salvatore Alex Cordovana, Luigi Giannelli, Nicola Macrì +3
We investigate state-transfer in modular quantum computer architectures exploiting the ultrastrong coupling regime of interaction between quantum processing units and ICs. We show…