6 citations · 6 across the 2 of their papers we have counts for
2 papers
quant-ph2024
Exploiting the equivalence between quantum neural networks and perceptrons
Chris Mingard, Jessica Pointing, Charles London +2
Quantum machine learning models based on parametrized quantum circuits, also called quantum neural networks (QNNs), are considered to be among the most promising candidates for app…
cs.LG2023★ 6 cited
Automatic Gradient Descent: Deep Learning without Hyperparameters
Jeremy Bernstein, Chris Mingard, Kevin Huang +2
The architecture of a deep neural network is defined explicitly in terms of the number of layers, the width of each layer and the general network topology. Existing optimisation fr…