A super-polynomial quantum-classical separation for density modelling

26 October 2022

Papers citing "A super-polynomial quantum-classical separation for density modelling"

7 / 7 papers shown

Title
On establishing learning separations between classical and quantum machine learning with classical data Casper Gyurik Vedran Dunjko 60 15 0 12 Aug 2022
Variational Quantum Algorithms M. Cerezo A. Arrasmith Ryan Babbush S. Benjamin Suguru Endo ... Jarrod R. McClean K. Mitarai Xiao Yuan L. Cincio Patrick J. Coles 114 2,546 0 16 Dec 2020
A rigorous and robust quantum speed-up in supervised machine learning Yunchao Liu Srinivasan Arunachalam K. Temme 109 546 0 05 Oct 2020
On the Quantum versus Classical Learnability of Discrete Distributions R. Sweke Jean-Pierre Seifert D. Hangleiter Jens Eisert 65 94 0 28 Jul 2020
Parameterized quantum circuits as machine learning models Marcello Benedetti Erika Lloyd Stefan H. Sack Mattia Fiorentini 112 897 0 18 Jun 2019
The Born Supremacy: Quantum Advantage and Training of an Ising Born Machine Brian Coyle Daniel Mills V. Danos E. Kashefi 96 157 0 03 Apr 2019
Quantum Machine Learning Jacob Biamonte P. Wittek Nicola Pancotti Patrick Rebentrost N. Wiebe S. Lloyd 71 2,035 0 28 Nov 2016