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From the 3 of 84 papers with an AI index.

most citedThe ALMA survey to Resolve exoKuiper belt Substructures (ARKS) I: Motivation, sample, data reduction, and results overview

16 citations

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quant-ph2026

Measurement incompatibility in Bayesian multiparameter quantum estimation

Francesco Albarelli, Dominic Branford, Jesús Rubio +1

We present a comprehensive and pedagogical formulation of Bayesian multiparameter quantum estimation. Within this framework, we analyse the role of measurement incompatibility and…

quant-ph20261 cited

Continuous-wave quantum light control via engineered Rydberg-induced dephasing

Iason Tsiamis, Oleksandr Kyriienko, Anders S. Sørensen

We analyze several implementations of all-optical single-photon transistors (SPTs) operating in the continuous-wave (cw) regime, as presented in the companion paper [Phys. Rev. A 1…

quant-ph20261 cited

Continuous-wave all-optical single-photon transistor based on a Rydberg-atom ensemble

Iason Tsiamis, Oleksandr Kyriienko, Anders S. Sørensen

Continuous-wave (cw) architectures provide a promising route to interface disparate quantum systems by relaxing the need for precise synchronization. While essential cw components,…

quant-ph20261 cited

Charging a quantum battery from the Bloch sphere

C. A. Downing, M. S. Ukhtary

We reconsider the quantum energetics and quantum thermodynamics of the charging process of a simple, two-component quantum battery model made up of a charger qubit and a single--ce…

quant-ph20251 cited

Adaptive, symmetry-informed Bayesian metrology for precise quantum technology measurements

Matt Overton, Jesús Rubio, Nathan Cooper +4

High precision measurements are essential to solve major scientific and technological challenges, from gravitational wave detection to healthcare diagnostics. Quantum sensing deliv…

quant-ph2025

Quantum Chebyshev Probabilistic Models for Fragmentation Functions

Jorge J. Martínez de Lejarza, Hsin-Yu Wu, Oleksandr Kyriienko +2

Quantum generative modeling is emerging as a powerful tool for advancing data analysis in high-energy physics, where complex multivariate distributions are common. However, efficie…