Samuel Duffield

Quasi-Newton Sequential Monte Carlo

2022 · arXiv (Cornell University)

Sequential Monte Carlo samplers represent a compelling approach to posterior inference in Bayesian models, due to being parallelisable and providing an unbiased estimate of the posterior normalising constant. In this work, we significantly accelerate sequential …

Bayesian learning of parameterised quantum circuits

2023 · Machine Learning Science and Technology

Abstract Currently available quantum computers suffer from constraints including hardware noise and a limited number of qubits. As such, variational quantum algorithms that utilise a classical optimiser in order to train a parameterised quantum circuit …