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quant-ph2026

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…

quant-ph2025

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…

quant-ph2025

On the emergence of quantum Darwinism and pointer states for non-commuting evolutions

Diana A. Chisholm, G. Massimo Palma, Luca Innocenti

Quantum systems achieve objectivity by redundantly encoding information about themselves into the surrounding environment, through a mechanism known as quantum Darwinism. When this…

quant-ph2025

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…

quant-ph2025

Boosting Thermodynamic Efficiency with Quantum Coherence of Phaseonium Atoms

Federico Amato, Gerardo Adesso, G. Massimo Palma +2

We present a realistic implementation of a quantum engine powered by a phaseonium gas of coherently prepared three-level atoms -- where quantum coherence acts as a thermodynamic re…

quant-ph2025

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,…