14 citations · 40 across the 5 of their papers we have counts for
5 papers
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…
Improving the speed of variational quantum algorithms for quantum error correction
Fabio Zoratti, Giacomo De Palma, Bobak Kiani +4
We consider the problem of devising a suitable Quantum Error Correction (QEC) procedures for a generic quantum noise acting on a quantum circuit. In general, there is no analytic u…
An agnostic-Dolinar receiver for coherent states classification
Fabio Zoratti, Nicola Dalla Pozza, Marco Fanizza +1
We consider the problem of discriminating quantum states, where the task is to distinguish two different quantum states with a complete classical knowledge about them, and the prob…