We introduce an optimisation method for variational quantum algorithms and experimentally demonstrate a 100-fold improvement in efficiency compared to naive implementations. The effectiveness of our approach is shown by obtaining multi-dimensional energy surfaces small molecules spin model. Our solves related problems parallel exploiting the global nature Bayesian sharing information between di...

Abstract We explore whether quantum advantages can be found for the zeroth-order online convex optimization problem, which is also known as bandit with multi-point feedback. In this setting, given access to oracles (that is, loss function accessed a black box that returns value any queried input), player attempts minimize sequence of adversarially generated functions. This procedure described $...