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From the 1 of 17 linked papers with an AI index.

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18 papers

quant-ph2026

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…

quant-ph2026

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…

hep-ph2026

Quantum decoherence: a study applied to quarkonium-like bound states in strongly interacting matter

Gabriele Coci, Salvatore Plumari, Giuseppe Falci

We study the quantum decoherence of a bound state interacting with a reservoir of strongly interacting matter within the framework of open quantum systems. The bound state is model…

cond-mat.mes-hall2026

Interplay between photon condensation and electron-electron interactions in molecular systems

Matteo Parisi, Elisabetta Paladino, Giuseppe A. Falci +4

We investigate a minimal molecular model consisting of square planar plaquettes hosting multiple electrons, whose dynamics is governed by a tight-binding Hamiltonian supplemented b…

quant-ph20261 cited

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…

quant-ph2026

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…