Variational quantum algorithm with information sharing.

摘要: We introduce a new optimisation method for variational quantum algorithms and experimentally demonstrate 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 different optimisers. Parallelisation makes ideally suited next generation with many physical degrees freedom. This addresses key challenge scaling-up towards demonstrating advantage real-world interest.