17 citations · 41 across the 12 of their papers we have counts for
12 papers
A general estimation framework for continuous-variable systems
Luca Innocenti, Simone Artini, Diana A. Chisholm +5
We show that informational completeness, while sufficient to have a bijection between ideal measurement probabilities and quantum states, does not guarantee statistically stable re…
Efficient classical training of model-free quantum photonic reservoir
Rosario Di Bartolo, Valeria Cimini, Giorgio Minati +10
Model-independent estimation of the properties of quantum states is a central challenge in quantum technologies, as experimental imperfections, drifts, and imprecise models of the…
The non-stabilizerness cost of quantum state estimation
Gabriele Lo Monaco, Salvatore Lorenzo, Alessandro Ferraro +3
We study the non-stabilizer resources required to achieve informational completeness in single-setting quantum state estimation scenarios. We consider fixed-basis projective measur…
Exoplanetary atmospheres retrieval via a quantum extreme learning machine
Marco Vetrano, Tiziano Zingales, G. Massimo Palma +1
The study of exoplanetary atmospheres traditionally relies on forward models to analytically compute the spectrum of an exoplanet by fine-tuning numerous chemical and physical para…
Thermodynamics of a phaseonium-driven optomechanical Otto engine
Federico Amato, Gerardo Adesso, G. Massimo Palma +2
We study an optomechanical Otto engine whose working medium is a single-mode cavity driven by beams of coherently prepared three-level phaseonium atoms. The atoms are not thermal r…
Coherent heat exchange in a prethermalizing open quantum system
Simone Artini, Mauro Paternostro, Salvatore Lorenzo
We investigate a simple model exhibiting a prethermal phase, i.e. a metastable state that emerges before full thermalization, through the framework of quantum stochastic thermodyna…
Speeding up thermalization and quantum state preparation through engineered quantum collisions
Sofia Sgroi, Salvatore Lorenzo, Luca Innocenti +3
We realize fast thermalization and state preparation of a single mode cavity field using a collision model-like approach, where a sequence of qubits or three level system ancillae,…
Quantum reservoir computing for photonic entanglement witnessing
Danilo Zia, Luca Innocenti, Giorgio Minati +10
Accurately estimating properties of quantum states, such as entanglement, while essential for the development of quantum technologies, remains a challenging task. Standard approach…
State estimation with quantum extreme learning machines beyond the scrambling time
Marco Vetrano, Gabriele Lo Monaco, Luca Innocenti +2
Quantum extreme learning machines (QELMs) leverage untrained quantum dynamics to efficiently process information encoded in input quantum states, avoiding the high computational co…
Quantum Extreme Learning of molecular potential energy surfaces and force fields
Gabriele Lo Monaco, Marco Bertini, Salvatore Lorenzo +1
Quantum machine learning algorithms are expected to play a pivotal role in quantum chemistry simulations in the immediate future. One such key application is the training of a quan…
An operational definition of quantum information scrambling
Gabriele Lo Monaco, Luca Innocenti, Dario Cilluffo +3
Quantum information scrambling (QIS) is a characteristic feature of several quantum systems, ranging from black holes to quantum communication networks. While accurately quantifyin…
Heating and cooling processes via phaseonium-driven dynamics of cascade systems
Federico Amato, Claudio Pellitteri, G. Massimo Palma +2
The search for strategies to harness the temperature of quantum systems is one of the main goals in quantum thermodynamics. Here we study the dynamics of a system made of a pair of…