  In this paper we briefly review two recent use-cases of quantum optimization
algorithms applied to hard problems in finance and economy. Specifically, we
discuss the prediction of financial crashes as well as dynamic portfolio
optimization. We comment on the different types of quantum strategies to carry
on these optimizations, such as those based on quantum annealers, universal
gate-based quantum processors, and quantum-inspired Tensor Networks.
