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Graph Cut Segmentation Methods Revisited with a Quantum Algorithm


Dec 07, 2018
Lisa Tse, Peter Mountney, Paul Klein, Simone Severini


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Adversarial quantum circuit learning for pure state approximation


Oct 11, 2018
Marcello Benedetti, Edward Grant, Leonard Wossnig, Simone Severini

* 14 pages, 6 figures. Corrected typos, updated references 

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Approximating Hamiltonian dynamics with the Nyström method


Sep 17, 2018
Alessandro Rudi, Leonard Wossnig, Carlo Ciliberto, Andrea Rocchetto, Massimiliano Pontil, Simone Severini

* v2: 22 pages, fixed typos in Eq.27 and 28 + other minor changes to the presentation of the results 

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Learning hard quantum distributions with variational autoencoders


Jul 02, 2018
Andrea Rocchetto, Edward Grant, Sergii Strelchuk, Giuseppe Carleo, Simone Severini

* npj Quantum Information, Volume 4, Article number: 28 (2018) 
* v2: 9 pages, 3 figures, journal version with major edits with respect to v1 (rewriting of section "hard and easy quantum states", extended discussion on comparison with tensor networks) 

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Universal discriminative quantum neural networks


May 22, 2018
Hongxiang Chen, Leonard Wossnig, Simone Severini, Hartmut Neven, Masoud Mohseni

* 19 pages, 10 figures 

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Compact Neural Networks based on the Multiscale Entanglement Renormalization Ansatz


Apr 03, 2018
Andrew Hallam, Edward Grant, Vid Stojevic, Simone Severini, Andrew G. Green

* 8 pages, 2 figures 

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Learning DNFs under product distributions via μ-biased quantum Fourier sampling


Mar 06, 2018
Varun Kanade, Andrea Rocchetto, Simone Severini

* 17 pages; v2 minor corrections and clarifications 

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Quantum machine learning: a classical perspective


Feb 13, 2018
Carlo Ciliberto, Mark Herbster, Alessandro Davide Ialongo, Massimiliano Pontil, Andrea Rocchetto, Simone Severini, Leonard Wossnig

* Proc. R. Soc. A, vol. 474, no. 2209, p. 20170551. The Royal Society, 2018 
* v3 33 pages; typos corrected and references added 

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Experimental learning of quantum states


Nov 30, 2017
Andrea Rocchetto, Scott Aaronson, Simone Severini, Gonzalo Carvacho, Davide Poderini, Iris Agresti, Marco Bentivegna, Fabio Sciarrino

* 11 pages, 6 figures 

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