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Quantum Algorithm for Numerical Energy Gradient Calculations at the Full Configuration Interaction Level of Theory.
Sugisaki, Kenji; Wakimoto, Hiroyuki; Toyota, Kazuo; Sato, Kazunobu; Shiomi, Daisuke; Takui, Takeji.
Afiliación
  • Sugisaki K; Department of Chemistry, Graduate School of Science, Osaka Metropolitan University, 3-3-138 Sugimoto, Sumiyoshi-ku, Osaka558-8585, Japan.
  • Wakimoto H; JSTPRESTO, 4-1-8 Honcho, Kawaguchi, Saitama, 332-0012, Japan.
  • Toyota K; Centre for Quantum Engineering, Research and Education (CQuERE), TCG Centres for Research and Education in Science and Technology (TCG CREST), Sector V, Salt Lake, Kolkata700091, India.
  • Sato K; Department of Chemistry, Graduate School of Science, Osaka Metropolitan University, 3-3-138 Sugimoto, Sumiyoshi-ku, Osaka558-8585, Japan.
  • Shiomi D; Department of Chemistry, Graduate School of Science, Osaka Metropolitan University, 3-3-138 Sugimoto, Sumiyoshi-ku, Osaka558-8585, Japan.
  • Takui T; Department of Chemistry, Graduate School of Science, Osaka Metropolitan University, 3-3-138 Sugimoto, Sumiyoshi-ku, Osaka558-8585, Japan.
J Phys Chem Lett ; 13(48): 11105-11111, 2022 Dec 08.
Article en En | MEDLINE | ID: mdl-36444985
ABSTRACT
A Bayesian phase difference estimation (BPDE) algorithm allows us to compute the energy gap of two electronic states of a given Hamiltonian directly by utilizing the quantum superposition of their wave functions. Here we report an extension of the BPDE algorithm to the direct calculation of the energy difference of two molecular geometries. We apply the BPDE algorithm for the calculation of numerical energy gradients based on the two-point finite-difference method, enabling us to execute geometry optimization of one-dimensional molecules at the full-CI level on a quantum computer. Results of numerical quantum circuit simulations of the geometry optimization of the H2 molecule with the STO-3G and 6-31G basis sets, the LiH and BeH2 molecules at the full-CI/STO-3G level, and the N2 molecule at the CASCI(6e,6o)/6-311G* level are given.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: J Phys Chem Lett Año: 2022 Tipo del documento: Article País de afiliación: Japón

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: J Phys Chem Lett Año: 2022 Tipo del documento: Article País de afiliación: Japón