359 citations · 2.1k across the 29 of their papers we have counts for
Showing 2023 · quant-phShow all
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quant-ph2023★ 4 cited
Backpropagation scaling in parameterised quantum circuits
Joseph Bowles, David Wierichs, Chae-Yeun Park
The discovery of the backpropagation algorithm ranks among one of the most important moments in the history of machine learning, and has made possible the training of large-scale n…
quant-ph2023★ 9 cited
Contextuality and inductive bias in quantum machine learning
Joseph Bowles, Victoria J Wright, Máté Farkas +2
Generalisation in machine learning often relies on the ability to encode structures present in data into an inductive bias of the model class. To understand the power of quantum ma…