105 citations · 336 across the 28 of their papers we have counts for
29 papers
Volcanic Clouds Detection through QCNN and Geostationary Satellite Multispectral Imagery
Federica Torrisi, Claudia Corradino, Alessandro Grilli +5
Recent advances in quantum computing are opening new possibilities for Earth Observation (EO) data analysis. Quantum machine learning (QML) approaches offer novel ways to process i…
Hybrid Quantum CNN for Cross-Sensor Spaceborne Volcanic Thermal Activity Recognition Worldwide
Claudia Corradino, Federica Torrisi, Alessandro Grilli +5
As Earth Observation (EO) enters the Big Data era, the exponential volume of daily satellite imagery poses significant computational and storage challenges for classical Deep Learn…
Machine-Learning-Empowered Quantum Sensing of the Plaquette Phase in a Three-Level Delta System
Lorenzo Vitale, Shreyasi Mukherjee, Dario Fasone +4
We propose a machine-learning-empowered approach to the quantum sensing of the plaquette phase, a gauge-invariant quantity arising in three-level systems. This phase profoundly…
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…
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-s…
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…
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…
Spin self-organization in an optical cavity facilitated by inhomogeneous broadening
Marc Nairn, Luigi Giannelli, Giovanna Morigi +3
We study the onset of collective spin-self-organization in a thermal ensemble of driven two-level atoms confined in an optical cavity. The atoms spontaneously form a spin-pattern a…
Noise Classification in Three-Level Quantum Networks by Machine Learning
Shreyasi Mukherjee, Dario Penna, Fabio Cirinnà +4
We investigate a machine learning based classification of noise acting on a small quantum network with the aim of detecting spatial or multilevel correlations, and the interplay wi…
Fast storage of photons in cavity-assisted quantum memories
Johann S. Kollath-Bönig, Luca Dellantonio, Luigi Giannelli +3
Ideal photonic quantum memories can store arbitrary pulses of light with unit efficiency. This requires operating in the adiabatic regime, where pulses have a duration much longer…
Adiabatic quantum trajectories in engineered reservoirs
Emma C. King, Luigi Giannelli, Raphaël Menu +2
We analyze the efficiency of protocols for adiabatic quantum state transfer assisted by an engineered reservoir. The target dynamics is a quantum trajectory in the Hilbert space an…
Two-photon-transition superadiabatic passage in an nitrogen-vacancy center in diamond
Musang Gong, Min Yu, Yaoming Chu +6
Reaching a given target quantum state with high fidelity and fast operation speed close to the quantum limit represents an important goal in quantum information science. Here, we e…
Integrated conversion and photodetection of virtual photons in an ultrastrongly coupled superconducting quantum circuit
Luigi Giannelli, Giorgio Anfuso, Miroslav Grajcar +3
The ground-state of an artificial atom ultrastrongly coupled to quantized modes is entangled and contains an arbitrary number of virtual photons. The problem of their detection has…
Detecting virtual photons in ultrastrongly coupled superconducting quantum circuits
Luigi Giannelli, Elisabetta Paladino, Miroslav Grajcar +2
Light-matter interaction and understanding the fundamental physics behind is essential for emerging quantum technologies. Solid-state devices may explore new regimes where coupling…
Coarse-grained effective Hamiltonian via the Magnus Expansion for a three-level system
Nicola Macrì, Luigi Giannelli, Elisabetta Paladino +1
Quantum state processing is one of the main tools of quantum technologies. While real systems are complicated and/or may be driven by non-ideal control they may nevertheless exhibi…
Coarse-grained dynamics of ac-driven two-state systems
Nicola Macrì, Luigi Giannelli, Jishnu Rajendran +2
Magnus expansion is used to identify effective Hamiltonians describing the coarse-grained dynamics of more complex problems. Here, we apply this method to a two-level system driven…
Optimized state transfer in systems of ultrastrongly coupled matter and radiation
Luigi Giannelli, Jishnu Rajendran, Nicola Macrì +4
Ultrastrong coupling may allow faster operations for the development of quantum technologies at the expenses of increased sensitivity to new kind of intrinsic errors. We study stat…
A Tutorial on Optimal Control and Reinforcement Learning methods for Quantum Technologies
Luigi Giannelli, Sofia Sgroi, Jonathon Brown +4
Quantum Optimal Control is an established field of research which is necessary for the development of Quantum Technologies. In recent years, Machine Learning techniques have been p…
Reinforcement learning-enhanced protocols for coherent population-transfer in three-level quantum systems
Jonathon Brown, Sofia Sgroi, Luigi Giannelli +5
We deploy a combination of reinforcement learning-based approaches and more traditional optimization techniques to identify optimal protocols for population transfer in a multi-lev…
Retrieval of single photons from solid-state quantum transducers
Tom Schmit, Luigi Giannelli, Anders S. Sørensen +1
Quantum networks using photonic channels require control of the interactions between the photons, carrying the information, and the elements comprising the nodes. In this work we t…