8 citations · 25 across the 5 of their papers we have counts for
6 papers
A Cheat-Sensitive Primitive for Destination-Private Quantum Routing
S. F. E. Oliviero, S. Onofri, V. Giovannetti
Quantum networks will rely on intermediate nodes to distribute entanglement, but the same nodes may learn which users are being connected. We introduce a minimal two-call routing p…
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…
Probabilistic versions of Quantum Private Queries
Silvia Onofri, Vittorio Giovannetti
The no-go theorem regarding unconditionally secure Quantum Bit Commitment protocols is a relevant result in quantum cryptography. Such result has been used to prove the impossibili…
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…