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19 papers · 2 filters
Measurement incompatibility in Bayesian multiparameter quantum estimation
Francesco Albarelli, Dominic Branford, Jesús Rubio
We present a comprehensive and pedagogical formulation of Bayesian multiparameter quantum estimation. Within this framework, we analyse the role of measurement incompatibility and…
Overshifted Parameter-Shift Rules: Optimizing Complex Quantum Systems with Few Measurements
Leonardo Banchi, Dominic Branford, Chetan Waghela
Gradient-based optimization is a key ingredient of variational quantum algorithms, with applications ranging from quantum machine learning to quantum chemistry and simulation. The…
Unified boson sampling
Luca Bianchi, Carlo Marconi, Laura Ares +2
Boson sampling is a key candidate for demonstrating quantum advantage, and has already yielded significant advances in quantum simulation, machine learning, and graph theory. In th…
Bell state measurements in quantum optics: a review of recent progress and open challenges
Luca Bianchi, Carlo Marconi, Davide Bacco
Bell state measurements, which project bipartite qubit systems onto the maximally entangled Bell basis, are central to a wide range of quantum information processing tasks, includi…
Conditioning in Generative Quantum Denoising Diffusion Models
Daniel Quinn, Lorenzo Buffoni, Stefano Gherardini +1
Quantum denoising diffusion models have recently emerged as a powerful framework for generative quantum machine learning. In this work, we extend these models by introducing a cond…
Free-space time-bin encoded quantum key distribution from near- to mid-infrared wavelengths
Claudia De Lazzari, Tecla Gabbrielli, Natalia Bruno +9
Quantum technologies play a central role in establishing new ways of quantum-secured communication. We investigate Free-Space Quantum Communication and explore the advantage of imp…