468 citations · 1k across the 30 of their papers we have counts for
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quant-ph2019★ 468 cited
Quantum Natural Gradient
James Stokes, Josh Izaac, Nathan Killoran +1
A quantum generalization of Natural Gradient Descent is presented as part of a general-purpose optimization framework for variational quantum circuits. The optimization dynamics is…
cs.LG2019
Mean-field Analysis of Batch Normalization
Mingwei Wei, James Stokes, David J Schwab
Batch Normalization (BatchNorm) is an extremely useful component of modern neural network architectures, enabling optimization using higher learning rates and achieving faster conv…
quant-ph2019★ 30 cited
Probabilistic Modeling with Matrix Product States
James Stokes, John Terilla
Inspired by the possibility that generative models based on quantum circuits can provide a useful inductive bias for sequence modeling tasks, we propose an efficient training algor…