3 papers
quant-ph2026
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…
quant-ph2025
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…
quant-ph2024
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…