Nuclear magnetic resonance spectroscopy is one of the few remaining areas of physical chemistry for which polynomially scaling simulation methods have not so far been available. Here, we report such a method and illustrate its performance by simulating common 2D and 3D liquid state NMR experiments (including accurate description of spin relaxation processes) on isotopically enriched human ubiquitin - a protein containing over a thousand nuclear spins forming an irregular polycyclic three-dimensional coupling lattice. The algorithm uses careful tailoring of the density operator space to only include nuclear spin states that are populated to a significant extent. The reduced state space is generated by analyzing spin connectivity and decoherence properties: rapidly relaxing states as well as correlations between topologically remote spins are dropped from the basis set. In the examples provided, the resulting reduction in the quantum mechanical simulation time is by many orders of magnitude.
@article{arxiv.1402.6139,
title = {A quantum mechanical NMR simulation algorithm for protein-scale spin systems},
author = {Luke J. Edwards and D. V. Savostyanov and Z. T. Welderufael and Donghan Lee and Ilya Kuprov},
journal= {arXiv preprint arXiv:1402.6139},
year = {2014}
}