47 citations · 136 across the 9 of their papers we have counts for
9 papers
Extracting information from a superradiant burst using simple measurements
Federico Belliardo, Anjun Chu, Martin Koppenhöfer +1
It is well known that superradiant decay of an ensemble of spins generates a complex non-classical state of light. Here, we consider the information content of a superradiant b…
Application of machine learning to experimental design in quantum mechanics
Federico Belliardo, Fabio Zoratti, Vittorio Giovannetti
The recent advances in machine learning hold great promise for the fields of quantum sensing and metrology. With the help of reinforcement learning, we can tame the complexity of q…
Applications of model-aware reinforcement learning in Bayesian quantum metrology
Federico Belliardo, Fabio Zoratti, Vittorio Giovannetti
An important practical problem in the field of quantum metrology and sensors is to find the optimal sequences of controls for the quantum probe that realize optimal adaptive estima…
Model-aware reinforcement learning for high-performance Bayesian experimental design in quantum metrology
Federico Belliardo, Fabio Zoratti, Florian Marquardt +1
Quantum sensors offer control flexibility during estimation by allowing manipulation by the experimenter across various parameters. For each sensing platform, pinpointing the optim…
Optimizing quantum-enhanced Bayesian multiparameter estimation of phase and noise in practical sensors
Federico Belliardo, Valeria Cimini, Emanuele Polino +5
Achieving quantum-enhanced performances when measuring unknown quantities requires developing suitable methodologies for practical scenarios, that include noise and the availabilit…
Untwining multiple parameters at the exclusive zero-coincidence points with quantum control
Yu Yang, Federico Belliardo, Vittorio Giovannetti +1
In this paper we address a special case of "sloppy" quantum estimation procedures which happens in the presence of intertwined parameters. A collection of parameters are said to be…
Non-asymptotic Heisenberg scaling: experimental metrology for a wide resources range
Valeria Cimini, Emanuele Polino, Federico Belliardo +5
Adopting quantum resources for parameter estimation discloses the possibility to realize quantum sensors operating at a sensitivity beyond the standard quantum limit. Such approach…
Incompatibility in Quantum Parameter Estimation
Federico Belliardo, Vittorio Giovannetti
In this paper we introduce a measure of genuine quantum incompatibility in the estimation task of multiple parameters, that has a geometric character and is backed by a clear opera…
Achieving Heisenberg scaling with maximally entangled states: an analytic upper bound for the attainable root mean square error
Federico Belliardo, Vittorio Giovannetti
In this paper we explore the possibility of performing Heisenberg limited quantum metrology of a phase, without any prior, by employing only maximally entangled states. Starting fr…