Andrea Rocchetto

Publication Activity (10 Years)

Years Active: 2017-2020
Publications (10 Years): 9

Top Topics

Quantum Computing

Application Of Machine Learning Methods

Action Sequences

Sample Selection Bias

Top Venues

Quantum Inf. Comput.

Publications

Carlo Ciliberto, Andrea Rocchetto, Alessandro Rudi, Leonard Wossnig
Fast quantum learning with statistical guarantees. CoRR (2020)
Alessandro Rudi, Leonard Wossnig, Carlo Ciliberto, Andrea Rocchetto, Massimiliano Pontil, Simone Severini
Approximating Hamiltonian dynamics with the Nyström method. Quantum 4 (2020)
Varun Kanade, Andrea Rocchetto, Simone Severini
mu - biased quantum Fourier sampling. Quantum Inf. Comput. 19 (15&16) (2019)
Andrea Rocchetto
Stabiliser states are efficiently PAC-learnable. Quantum Inf. Comput. 18 (7&8) (2018)
Alessandro Rudi, Leonard Wossnig, Carlo Ciliberto, Andrea Rocchetto, Massimiliano Pontil, Simone Severini
Approximating Hamiltonian dynamics with the Nyström method. CoRR (2018)
Varun Kanade, Andrea Rocchetto, Simone Severini
Learning DNFs under product distributions via μ-biased quantum Fourier sampling. CoRR (2018)
Andrea Rocchetto
Stabiliser states are efficiently PAC-learnable. CoRR (2017)
Carlo Ciliberto, Mark Herbster, Alessandro Davide Ialongo, Massimiliano Pontil, Andrea Rocchetto, Simone Severini, Leonard Wossnig
Quantum machine learning: a classical perspective. CoRR (2017)
Andrea Rocchetto, Scott Aaronson, Simone Severini, Gonzalo Carvacho, Davide Poderini, Iris Agresti, Marco Bentivegna, Fabio Sciarrino
Experimental learning of quantum states. CoRR (2017)