360 citations · 512 across the 6 of their papers we have counts for
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quant-ph2016★ 15 cited
Benchmarking Quantum Hardware for Training of Fully Visible Boltzmann Machines
Dmytro Korenkevych, Yanbo Xue, Zhengbing Bian +4
Quantum annealing (QA) is a hardware-based heuristic optimization and sampling method applicable to discrete undirected graphical models. While similar to simulated annealing, QA r…
quant-ph2016★ 360 cited
Quantum Boltzmann Machine
Mohammad H. Amin, Evgeny Andriyash, Jason Rolfe +2
Inspired by the success of Boltzmann Machines based on classical Boltzmann distribution, we propose a new machine learning approach based on quantum Boltzmann distribution of a tra…