Ab initio solution of the many-electron Schrödinger equation with deep neural networks

Given access to accurate solutions of the many-electron Schrdinger equation, nearly all chemistry could be derived from first principles. Exact wave functions of interesting chemical systems are out of reach because they are NP-hard to compute in general, but approximations can be found using polynomially scaling algorithms.