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PreprintCC BYChemRxiv

QUBO–SAMPLING–DRIVEN SELECTED CONFIGURATION INTERACTION

Abstract

Accurate solutions to the electronic Schrödinger equation remain a central challenge in quantum chemistry due to the exponential growth of the many-electron Hilbert space. Selected configuration interaction (SCI) methods mitigate this challenge by restricting the wavefunction expansion to a subset of important determinants, but their efficiency is limited by the quality/cost of determinant selection and Hamiltonian diagonalization. In this work, we propose QUBO-SCI, a novel approach that reformulates the selection step in SCI as a quadratic unconstrained binary optimization (QUBO) problem. This formulation enables the sampling of low-energy electronic configurations as bitstrings using both quantum-inspired approaches and quantum annealing hardware. The sampled configurations are then incorporated into an iterative SCI framework using a perturbative importance criterion. We demonstrate the method on small benchmark systems, including H 2 , C 2 , H 2 O, and N 2 , showing that QUBO-SCI achieves near-FCI accuracy with a significantly reduced number of determinants. The results highlight the potential of annealing-based sampling as an efficient alternative to both conventional determinant selection strategies and circuit-based quantum SCI approaches in electronic structure calculations.

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BibTeX
@misc{rocha2026qubosamplingdriven,
  title = {{QUBO–SAMPLING–DRIVEN SELECTED CONFIGURATION INTERACTION}},
  author = {Carlos M. R. Rocha},
  howpublished = {ChemRxiv},
  year = {2026},
  month = sep,
  doi = {10.26434/chemrxiv.15008372/v1},
  url = {https://chemrxiv.org/doi/full/10.26434/chemrxiv.15008372/v1},
  note = {CC BY},
}
RIS
TY  - UNPB
TI  - QUBO–SAMPLING–DRIVEN SELECTED CONFIGURATION INTERACTION
AU  - Carlos M. R. Rocha
PY  - 2026
DA  - 2026/09/06
PB  - ChemRxiv
DO  - 10.26434/chemrxiv.15008372/v1
UR  - https://chemrxiv.org/doi/full/10.26434/chemrxiv.15008372/v1
AB  - Accurate solutions to the electronic Schrödinger equation remain a central challenge in quantum chemistry due to the exponential growth of the many-electron Hilbert space. Selected configuration interaction (SCI) methods mitigate this challenge by restricting the wavefunction expansion to a subset of important determinants, but their efficiency is limited by the quality/cost of determinant selection and Hamiltonian diagonalization. In this work, we propose QUBO-SCI, a novel approach that reformulates the selection step in SCI as a quadratic unconstrained binary optimization (QUBO) problem. This formulation enables the sampling of low-energy electronic configurations as bitstrings using both quantum-inspired approaches and quantum annealing hardware. The sampled configurations are then incorporated into an iterative SCI framework using a perturbative importance criterion. We demonstrate the method on small benchmark systems, including H 2 , C 2 , H 2 O, and N 2 , showing that QUBO-SCI achieves near-FCI accuracy with a significantly reduced number of determinants. The results highlight the potential of annealing-based sampling as an efficient alternative to both conventional determinant selection strategies and circuit-based quantum SCI approaches in electronic structure calculations.
ER  -