Steven R. White

In 1992, White introduced a new computational method, the density matrix renormalization group (DMRG), which has had a major impact in condensed matter physics, chemistry and quantum information. DMRG is widely recognized as the most capable and important algorithm for studying 1D quantum lattice systems,  and has been used in thousands of publications.  White pioneered the application of DMRG to quantum chemistry and also to 2D lattice models, using it to study striped states in the cuprates and recently to find a spin-liquid ground state in the 2D spin-1/2 Kagome Heisenberg model.  In recent years DMRG has emerged as the first in a broad family of algorithms call "Tensor Networks", with even broader applications to fields ranging from quantum gravity to machine learning.