Towards discovery in chemistry with quantum computers

Chemistry is one of the most interesting applications of quantum computers and a candidate for the first demonstration of a useful quantum advantage. Near term algorithms, including variational quantum eigensolvers, constitute a promising path toward that goal. I will give an overview of the elements that enter such algorithms and focus on state preparation, highlighting our work on problem-tailored ansatze. These include dynamical, adaptive, and symmetry-respecting ansatze.