From the 1 of 14 linked papers with an AI index.
1 citations · 1 across the 8 of their papers we have counts for
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Machine-Learning-Empowered Quantum Sensing of the Plaquette Phase in a Three-Level Delta System
Lorenzo Vitale, Shreyasi Mukherjee, Dario Fasone +4
The paper introduces a machine‑learning method using a multi‑layer perceptron to infer the gauge‑invariant plaquette phase of a three‑level Δ system from experimentally measurable…
Engineering Nonclassical States via the Dynamical Casimir Effect
Maristella Crotti, Luca Razzoli, Giacomo Guarnieri +3
Nonadiabatic driving in ultrastrongly coupled light--matter systems is commonly regarded as a source of errors, as counter-rotating interactions convert vacuum fluctuations into re…
Optimal control of a dissipative micromaser quantum battery in the ultrastrong coupling regime
Maristella Crotti, Luca Razzoli, Luigi Giannelli +2
We investigate the open-system dynamics of a micromaser quantum battery in the ultrastrong-coupling (USC) regime. The battery consists of a quantized harmonic mode sequentially int…
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…
Dark state role in time-reversal symmetry breaking
Dario Fasone, Rita Veilande, Luigi Giannelli +5
We investigate the role of the global driving phase in the dynamics of driven few-level quantum systems, a central setting in coherent control of atomic, molecular, and solid-…