pith. sign in

arxiv: 2601.04621 · v2 · pith:N3LITP3Lnew · submitted 2026-01-08 · ⚛️ physics.chem-ph · cond-mat.str-el· quant-ph

Classical computational simulation of the FeMo-cofactor model to chemical accuracy and its implications

classification ⚛️ physics.chem-ph cond-mat.str-elquant-ph
keywords modelaccuracychemicalelectronicfemo-cofactorground-stateclassicalcluster
0
0 comments X
read the original abstract

We use classical computational methods to estimate the ground-state energy to chemical accuracy in a model of the FeMo-cofactor of nitrogenase which is widely studied as a target of quantum computing. Our result relies on the insight that the ground-state problem can be characterized as one of ranking many competing, but largely simple, states. This allows a combination of systematic high-order coupled cluster and density matrix renormalization group calculations together with an extrapolation protocol to obtain an accurate energy. Within the model we identify several spin isomer candidates for the ground-state that are degenerate to chemical accuracy. Beyond this model, we characterize the impact of additional electronic excitations and the cluster and protein geometric fluctuations on the low-lying electronic landscape. We find that many features of the landscape are retained in more detailed representations of nitrogenase, which points to the complexity of spectroscopic interpretations of the electronic structure of the FeMo-cofactor.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 10 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Real-time Krylov Diagonalisation for Open Quantum Systems

    quant-ph 2026-05 unverdicted novelty 7.0

    Real-time Krylov subspace methods are extended to Lindblad open quantum systems and demonstrated on a Kerr resonator for estimating the Liouvillian gap in cat qubit regimes.

  2. An Iterative Dual-Channel Neural Quantum State Algorithm for Selected Configuration Interaction

    physics.chem-ph 2026-06 unverdicted novelty 6.0

    HI-NQS uses a dual-channel autoregressive Transformer NQS inside an iterative sample-diagonalize-update loop to reach chemical accuracy on small molecules and nitrogen active spaces with better determinant scaling than CIPSI.

  3. Quantum-Accelerated Self-Consistent Field: A Hybrid Algorithm

    quant-ph 2026-06 unverdicted novelty 6.0

    GAS-SCF uses Grover adaptive search and quantum arithmetic to mark and amplify improving Fock states, offering a theoretical quadratic speedup for SCF optimization, shown via classical simulations up to 26 qubits and ...

  4. Absorbing Many-Body Correlations into Core-Optimized Orbitals

    quant-ph 2026-05 unverdicted novelty 6.0

    COO co-optimizes orbitals with TrimCI to absorb many-body correlations into the basis, cutting determinant count by orders of magnitude for iron-sulfur clusters versus localized bases or DMRG.

  5. Spin-adapted neural network backflow for symmetry-preserving simulations of strongly correlated electrons

    physics.chem-ph 2026-04 unverdicted novelty 6.0

    SA-NNBF creates fully antisymmetric, spin-symmetric neural wavefunctions via sum-of-products spin eigenfunctions and tensor compression, enabling VMC calculations that outperform standard NNBF and SA-DMRG on systems w...

  6. Distribution Complexity of Electronic Structure Simulations on Quantum Supercomputers

    quant-ph 2026-06 unverdicted novelty 5.0

    An algorithm is presented for estimating distribution complexity of electronic structure Hamiltonians, with O(N^3) entanglement estimation per fragment and quadratic/exponential reductions in distribution cost for qua...

  7. Selecting optimal unrestricted Hartree-Fock trial wavefunctions for phaseless auxiliary-field quantum Monte Carlo: Accuracy and limitations in modeling three iron-sulfur clusters

    physics.chem-ph 2026-05 conditional novelty 5.0

    Chemical properties and symmetries, not variational energy, should guide UHF trial selection for ph-AFQMC on iron-sulfur clusters, yielding accurate energies despite suboptimal sampling and bias compensation.

  8. Real-time Krylov Diagonalisation for Open Quantum Systems

    quant-ph 2026-05 unverdicted novelty 5.0

    Real-time Krylov subspace methods are adapted to Lindblad open systems and used to extract the Liouvillian gap of a two-photon-driven Kerr resonator in the cat-qubit regime.

  9. Can phaseless auxiliary-field quantum Monte Carlo with broken symmetry trials describe iron-sulfur clusters?

    physics.chem-ph 2026-05 unverdicted novelty 5.0

    Improving broken-symmetry trial wavefunctions in phaseless AFQMC for Fe-S clusters can worsen energy accuracy until high fidelity, linked to measurement trial selection and suggesting error cancellation in HF-based results.

  10. Dynamical Simulations of Schr\"odinger's Equation via Rank-Adaptive Tensor Decompositions

    quant-ph 2026-03 unverdicted novelty 4.0

    Rank-adaptive tensor decompositions enable memory-efficient dynamical simulations of Schrödinger's equation by compressing partially entangled quantum states while controlling truncation error via SVD thresholds.