261 citations · 464 across the 9 of their papers we have counts for
3 papers · 2 filters
A Kerr kernel quantum learning machine
Carolyn Wood, Sally Shrapnel, G J Milburn
Kernel methods are of current interest in quantum machine learning due to similarities with quantum computing in how they process information in high-dimensional feature (Hilbert)…
A de Finetti theorem for quantum causal structures
Fabio Costa, Jonathan Barrett, Sally Shrapnel
What does it mean for a causal structure to be `unknown'? Can we even talk about `repetitions' of an experiment without prior knowledge of causal relations? And under what conditio…
Quantum Kernel Machine Learning With Continuous Variables
Laura J. Henderson, Rishi Goel, Sally Shrapnel
The popular qubit framework has dominated recent work on quantum kernel machine learning, with results characterising expressivity, learnability and generalisation. As yet, there i…