953 citations · 3.5k across the 41 of their papers we have counts for
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cond-mat.dis-nn2020★ 10 cited
Automatic virtual voltage extraction of a 2x2 array of quantum dots with machine learning
Giovanni A. Oakes, Jingyu Duan, John J. L. Morton +3
Spin qubits in quantum dots are a compelling platform for fault-tolerant quantum computing due to the potential to fabricate dense two-dimensional arrays with nearest neighbour cou…
cond-mat.dis-nn2018★ 28 cited
Geometry of energy landscapes and the optimizability of deep neural networks
Simon Becker, Yao Zhang, Alpha A. Lee
Deep neural networks are workhorse models in machine learning with multiple layers of non-linear functions composed in series. Their loss function is highly non-convex, yet empiric…