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CO on Small Metal Clusters: Site-Resolved Vibrational Shifts and DMRG and VQE Benchmarks of Electron Correlation

Mohsen Doust Mohammadi

Published Oct 21, 2026• 0 citations
Publisher

Abstract

Strong electron correlation in transition-metal chemistry motivates both advanced classical solvers, such as the density matrix renormalization group (DMRG), and quantum algorithms, but a claim of quantum utility requires a converged classical baseline. This baseline is established for a concrete problem, the C–O stretching signature of CO on small Mn clusters (M = Cu, Ag, Au, Pd, Pt; n = 2–5). Shifts and adsorption energies of 35 complexes from PBE0/def2-TZVPP full numerical Hessians, corrected with CCSD(T) and tested against six further functionals, are organized by site coordination: top-site CO shifts by +6 to −108 cm −1 , bridgesite CO by −202 to −387 cm −1 , and hollow-site CO by −339 to −508 cm −1 , separated by at least 94 cm −1 , more than the estimated uncertainty of 15–20 cm −1 . Multireference diagnostics test the classical hierarchy. CASSCF with 8 and 12 active orbitals gives linear minima for CuCO and AuCO, which contradicts the bent minima of PBE0. DMRG for eight cluster complexes with up to 36 active orbitals and 61 electrons changes by 0.5 m E h or less between bond dimensions 500 and 1000 and takes 0.3–2.8 h per complex. Seven complexes are weakly entangled (largest single-orbital entropy 0.21–0.26), whereas top-site Pt5CO is moderately multiconfigurational (0.62). A noiseless UCCSD variational quantum eigensolver (VQE) reproduces CASSCF in 16-qubit active spaces only to within 2.0–4.3 m E h , above chemical accuracy. For these systems classical methods suffice, and entanglement screening with DMRG is proposed as the test that a candidate system must pass before quantum advantage is sought.

DOI
10.26434/chemrxiv.15010810/v1

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Strong electron correlation in transition-metal chemistry motivates both advanced classical solvers, such as the density matrix renormalization group (DMRG), and quantum algorithms, but a claim of quantum utility requires a converged classical baseline. This baseline is established for a concrete problem, the C–O stretching signature of CO on small Mn clusters (M = Cu, Ag, Au, Pd, Pt; n = 2–5). Shifts and adsorption energies of 35 complexes from PBE0/def2-TZVPP full numerical Hessians, corrected with CCSD(T) and tested against six further functionals, are organized by site coordination: top-site CO shifts by +6 to −108 cm −1 , bridgesite CO by −202 to −387 cm −1 , and hollow-site CO by −339 to −508 cm −1 , separated by at least 94 cm −1 , more than the estimated uncertainty of 15–20 cm −1 . Multireference diagnostics test the classical hierarchy. CASSCF with 8 and 12 active orbitals gives linear minima for CuCO and AuCO, which contradicts the bent minima of PBE0. DMRG for eight cluster complexes with up to 36 active orbitals and 61 electrons changes by 0.5 m E h or less between bond dimensions 500 and 1000 and takes 0.3–2.8 h per complex. Seven complexes are weakly entangled (largest single-orbital entropy 0.21–0.26), whereas top-site Pt5CO is moderately multiconfigurational (0.62). A noiseless UCCSD variational quantum eigensolver (VQE) reproduces CASSCF in 16-qubit active spaces only to within 2.0–4.3 m E h , above chemical accuracy. For these systems classical methods suffice, and entanglement screening with DMRG is proposed as the test that a candidate system must pass before quantum advantage is sought.
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Understanding strongly correlated systems is essential for advancing quantum chemistry and materials science, yet conventional methods like Density Functional Theory (DFT) often fail to capture their complex electronic behavior. To address these limitations, we develop a hybrid quantum-classical framework that integrates Multiconfigurational Self-Consistent Field (MCSCF) with the Variational Quantum Eigensolver (VQE). Our initial benchmarks on water dissociation enabled the systematic optimization of key computational parameters, including ansatz selection, active space construction, and error mitigation. Building on this, we extend our approach to investigate the interactions between graphene analogues and water, demonstrating that our framework produces binding energies consistent with high-accuracy quantum methods. Furthermore, we apply this methodology to predict the binding energies of transition metals (Fe, Co, Ni) on both pristine and defective graphene analogues, revealing strong charge transfer effects and pronounced multireference character─phenomena often misrepresented by standard DFT. In contrast to many existing quantum algorithms that are constrained to small molecular systems, our framework achieves chemically accurate predictions for larger, strongly correlated systems such as metal-graphene complexes. This advancement highlights the capacity of hybrid quantum-classical approaches to address complex electronic interactions and demonstrates a practical route toward realizing quantum advantage for real-world materials applications in the Noisy Intermediate-Scale Quantum (NISQ) era.
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