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20242026
most citedContinuous-variable quantum communication

17 citations · 17 across the 1 of their papers we have counts for

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quant-ph202617 cited

Continuous-variable quantum communication

Vladyslav C. Usenko, Antonio Acín, Romain Alléaume +8

Tremendous progress in experimental quantum optics in recent decades has enabled the advent of quantum technologies, one of which is quantum communication. Aimed at novel methods f…

quant-ph2026

Harnessing quantum back-action for time-series processing

Giacomo Franceschetto, Marcin Płodzień, Maciej Lewenstein +2

Quantum measurements affect the state of the observed systems via back-action. While projective measurements extract maximal classical information, they drastically alter the syste…

quant-ph2025

Long-distance device-independent quantum key distribution using single-photon entanglement

Anna Steffinlongo, Mariana Navarro, Marina Cenni +3

Device-independent quantum key distribution (DIQKD) provides the strongest form of quantum security, as it allows two honest users to establish secure communication channels even w…

quant-ph2025

Maximal intrinsic randomness of noisy quantum measurements

Fionnuala Curran, Morteza Moradi, Gabriel Senno +2

Quantum physics exhibits an intrinsic and private form of randomness with no classical counterpart. Any setup for quantum randomness generation involves measurements acting on quan…

quant-ph2025

Beyond Ground States: Physics-Inspired Optimization of Excited States of Classical Hamiltonians

Erik Altelarrea-Ferré, Júlia Barberà -Rodríguez, David Jansen +1

We introduce excited local quantum annealing (ExcLQA), a classical, physics-inspired algorithm that extends local quantum annealing (LQA) to identify excited states of classical Is…

quant-ph2025

Certifying steady-state properties of open quantum systems

Luke Mortimer, Donato Farina, Grazia Di Bello +4

Estimating the steady-state properties of open many-body quantum systems is a fundamental challenge in quantum science and technologies. In this work, we present a scalable approac…