Classical solution of the FeMo-cofactor model to chemical accuracy and its implications
Huanchen Zhai, Chenghan Li, Xing Zhang, Zhendong Li, Seunghoon Lee, Garnet Kin-Lic Chan
TL;DR
This work tackles the FeMo-cofactor electronic-structure problem by delivering a classical solution at chemical accuracy for a widely used quantum-resource model (LLDUC) and a QM/MM-augmented extension. By combining spin-unrestricted CC and high-level DMRG with a careful reference-filtering protocol and symmetry considerations, the authors achieve a ground-state energy estimate of $E_0 \,\approx\,-22140.4106$ Hartrees with an uncertainty of about $0.0005$ Ha (≈ $0.31$ kcal/mol). They find near-degeneracy between spin isomers BS7-235 and BS8-237, reveal a dense low-energy manifold, and demonstrate that environmental fluctuations modestly shift relative energies while preserving the qualitative landscape. Beyond the LLDUC model, the study introduces a scalable protocol for extending active spaces and demonstrates oxidation-state calibration and analysis consistent with experiment, outlining a practical path toward high-accuracy, QM/MM-based understanding of FeMo-co electronic structure and potential quantum-computation advantages. The results suggest that simpler single-reference methods, when used with appropriate orbital bases and referencing, can correctly rank low-energy states, enabling realistic reaction-mechanism modeling for nitrogenase with future quantum or ML-augmented approaches.
Abstract
The main source of reduced nitrogen for living things comes from nitrogenase, which converts N2 to NH3 at the FeMo-cofactor (FeMo-co). Because of its role in supporting life, the uncertainty surrounding the catalytic cycle, and its compositional richness with eight transition metal ions, FeMo-co has fascinated scientists for decades. After much effort, the complete atomic structure was resolved. However, its electronic structure, central to reactivity, remains under intense debate. FeMo-co's complexity, arising from many unpaired electrons, has led to suggestions that it lies beyond the reach of classical computing. Consequently, there has been much interest in the potential of quantum algorithms to compute its electronic structure. Estimating the cost to compute the ground-state to chemical accuracy (~1 kcal/mol) within one or more FeMo-co models is a common benchmark of quantum algorithms in quantum chemistry, with numerous resource estimates in the literature. Here we address how to perform the same task using classical computation. We use a 76 orbital/152 qubit resting state model, the subject of most quantum resource estimates. Based on insight into the multiple configuration nature of the states, we devise classical protocols that yield rigorous or empirical upper bounds to the ground-state energy. Extrapolating these we predict the ground-state energy with an estimated uncertainty on the order of chemical accuracy. Having performed this long-discussed computational task, we next consider implications beyond the model. We distill a simpler computational procedure which we apply to reveal the electronic landscape in realistic representations of the cofactor. We thus illustrate a path to a precise computational understanding of FeMo-co electronic structure.
