Andrea Rocchetto
Andrea Rocchetto
University of Texas at Austin
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Quantum machine learning: a classical perspective
C Ciliberto, M Herbster, AD Ialongo, M Pontil, A Rocchetto, S Severini, ...
Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2018
Experimental learning of quantum states
A Rocchetto, S Aaronson, S Severini, G Carvacho, D Poderini, I Agresti, ...
Science advances 5 (3), eaau1946, 2019
Learning hard quantum distributions with variational autoencoders
A Rocchetto, E Grant, S Strelchuk, G Carleo, S Severini
npj Quantum Information 4 (1), 1-7, 2018
Stabilizers as a design tool for new forms of the Lechner-Hauke-Zoller annealer
A Rocchetto, SC Benjamin, Y Li
Science advances 2 (10), e1601246, 2016
Modelling non-Markovian quantum processes with recurrent neural networks
L Banchi, E Grant, A Rocchetto, S Severini
New Journal of Physics 20 (12), 123030, 2018
Stabiliser states are efficiently PAC-learnable
A Rocchetto
Quantum Information and Computation 18 (7&8), 2018
Learning DNFs under product distributions via μ-biased quantum Fourier sampling
V Kanade, A Rocchetto, S Severini
Quantum Information and Computation Vol. 19, No. 15&16 (2019) 1261–1278 19 …, 2019
Statistical limits of supervised quantum learning
C Ciliberto, A Rocchetto, A Rudi, L Wossnig
Physical Review A 102 (4), 042414, 2020
Approximating Hamiltonian dynamics with the Nyström method
A Rudi, L Wossnig, C Ciliberto, A Rocchetto, M Pontil, S Severini
Quantum 4 (234), 234, 2020
Decomposition of Pauli groups via weak central products
A Rocchetto, FG Russo
arXiv preprint arXiv:1911.10158, 2019
Algorithmic models in quantum mechanics
A Rocchetto
University of Oxford, 2019
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Artiklar 1–11