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quant-ph2024

Fundamental bounds for parameter estimation with few measurements

Valentin Gebhart, Manuel Gessner, Augusto Smerzi

Bounding the optimal precision in parameter estimation tasks is of central importance for technological applications. In the regime of a small number of measurements, or that of lo…

quant-ph2023

Entanglement Harvesting from Electromagnetic Quantum Fields

Frieder Lindel, Alexa Herter, Valentin Gebhart +2

In many states of the quantum electromagnetic field, including the vacuum state, entanglement exists between different space-time regions -- even space-like separated ones. These c…

quant-ph2021

Identifying nonclassicality from experimental data using artificial neural networks

Valentin Gebhart, Martin Bohmann, Karsten Weiher +4

The fast and accessible verification of nonclassical resources is an indispensable step towards a broad utilization of continuous-variable quantum technologies. Here, we use machin…

quant-ph2020

Bayesian Quantum Multiphase Estimation Algorithm

Valentin Gebhart, Augusto Smerzi, Luca Pezzè

Quantum phase estimation (QPE) is the key subroutine of several quantum computing algorithms as well as a central ingredient in quantum computational chemistry and quantum simulati…

quant-ph2020

Quantifying Computational Advantage of Grover's Algorithm with the Trace Speed

Valentin Gebhart, Luca Pezzè, Augusto Smerzi

Despite intensive research, the physical origin of the speed-up offered by quantum algorithms remains mysterious. No general physical quantity, like, for instance, entanglement, ca…

quant-ph2019

Topological transition in measurement-induced geometric phases

Valentin Gebhart, Kyrylo Snizhko, Thomas Wellens +3

The state of a quantum system, adiabatically driven in a cycle, may acquire a measurable phase depending only on the closed trajectory in parameter space. Such geometric phases are…