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20162021
most citedDistributed Training of Deep Learning Models: A Taxonomic Perspective

97 citations · 132 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…