261 citations · 464 across the 9 of their papers we have counts for
9 papers
Quantum Algorithms for Causal Estimands
Rishi Goel, Casey R. Myers, Sally Shrapnel
Modern machine learning (ML) methods typically fail to adequately capture causal information. Consequently, such models do not handle data distributional shifts, are vulnerable to…
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…
Deep neural network or dermatologist?
Kyle Young, Gareth Booth, Becks Simpson +2
Deep learning techniques have proven high accuracy for identifying melanoma in digitised dermoscopic images. A strength is that these methods are not constrained by features that a…
Quantum Markovianity as a supervised learning task
Sally Shrapnel, Fabio Costa, Gerard Milburn
Supervised learning algorithms take as input a set of labelled examples and return as output a predictive model. Such models are used to estimate labels for future, previously unse…
Causation does not explain contextuality
Sally Shrapnel, Fabio Costa
Realist interpretations of quantum mechanics presuppose the existence of elements of reality that are independent of the actions used to reveal them. Such a view is challenged by s…
Updating the Born rule
Sally Shrapnel, Fabio Costa, Gerard Milburn
Despite the tremendous empirical success of quantum theory there is still widespread disagreement about what it can tell us about the nature of the world. A central question is whe…
Quantum causal modelling
Fabio Costa, Sally Shrapnel
Causal modelling provides a powerful set of tools for identifying causal structure from observed correlations. It is well known that such techniques fail for quantum systems, unles…