377 citations · 2.5k across the 36 of their papers we have counts for
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quant-ph2016★ 111 cited
Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models
Marcello Benedetti, John Realpe-Gómez, Rupak Biswas +1
Mainstream machine-learning techniques such as deep learning and probabilistic programming rely heavily on sampling from generally intractable probability distributions. There is i…
quant-ph2016★ 113 cited
Strengths and weaknesses of weak-strong cluster problems: A detailed overview of state-of-the-art classical heuristics vs quantum approaches
Salvatore Mandrà, Zheng Zhu, Wenlong Wang +2
To date, a conclusive detection of quantum speedup remains elusive. Recently, a team by Google Inc.~[V.~S.~Denchev {\em et al}., Phys.~Rev.~X {\bf 6}, 031015 (2016)] proposed a wea…