40 citations · 98 across the 21 of their papers we have counts for
4 papers · 1 filter
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…
Robustness of the quantum Mpemba effect against state-preparation errors
Matthew Mackinnon, Mauro Paternostro
The quantum Mpemba effect (QME) is a phenomenon observed in many-body systems where initial systems configurations farther from equilibrium can be observed to equilibrate faster th…
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…
Inferring Quantum Network Topologies using Genetic Optimisation of Indirect Measurements
Conall J. Campbell, Matthew Mackinnon, Mauro Paternostro +1
The characterisation of quantum networks is fundamental to understanding how energy and information propagates through complex systems, with applications in control, communication,…