Predicting the energy of molecules to high accuracy during the course of a chemical reaction, which in turn allows us to predict reaction rates, equilibrium geometries, transition states among others is a Quantum Chemical problem.
Quantum Computing could help Quantum Chemistry by solving the Schrodinger equation for large systems. An example of a problem that is intractable but has applications to Quantum Chemistry is the Hartree-Fock method, a method to approximate the wave function and energy of a quantum many-body system (in stationary state). This problem is known to be NP-complete (see On the NP-completeness of the Hartree-Fock method for translationally invariant systems). Other examples of Quantum Computation to Quantum chemistry are 2-local-Hamiltonians (QMA-complete), Fermionic Local Hamiltonian (QMA-hard).
Quantum Computing could give yes/no answers to questions to specific problems such as showing certain molecules have dipole moment. Also, NMR, Trapped Ions, and Superconducting qubits could be used to to simulate such chemical systems too. Noise being, a factor approaches such as NISQ could play a part in simulating quantum chemical systems. What Quantum Computing approaches have been successful to solving Quantum chemistry problems such as predicting reaction rates, transition rates (or even show promise)?