Jack Fitzsimons

Quantum-assisted Gaussian process regression

2019 · Physical Review A

Gaussian processes (GPs) are a widely used model for regression problems in supervised machine learning. Implementation of GP regression typically requires $O({n}^{3})$ logic gates. We show that the quantum linear systems algorithm [Harrow et al., …