Research

Scientific interests:

-) Quantum information and computation;

-) Quantum machine learning and artificial intelligence;

-) Quantum spin systems and quantum annealing;

-) Quantum statistical mechanics;

-) Mathematical foundations of quantum mechanics;

-) Quantum communication and cryptography;

Main results concern:

-) Complete characterization of states and observables within geometric Hamiltonian formulation of quantum mechanics with applications to quantum information.

-) Geometric description of quantum mutual information.

-) Geometric characterization of quantum controllability.

-) QKD based two-way transmission of entangled states.

-) Design and benchmark of hybrid quantum-classical learning pipelines on real datasets, including ensembles of quantum classifiers.

-)  Development of hybrid quantum-classical procedures for Hamiltonian learning in adiabatic quantum computing;

-) Design of a quantum k-nearest neighbors algorithm based on Euclidean distance estimation;

-) Quantitative bounds over classical simulability of variational quantum circuits;

-) Trainability of quantum GANs with classical data via quantum tomography.

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