Moments-based quantum computation of the electric dipole moment of molecular systems

• URL: http://arxiv.org/abs/2509.10758v1
• Date: Sat, 13 Sep 2025 00:05:19 GMT
• Title: Moments-based quantum computation of the electric dipole moment of molecular systems
• Authors: Michael A. Jones, Harish J. Vallury, Manolo C. Per, Harry M. Quiney, Lloyd C. L. Hollenberg,
• Abstract summary: We employ the quantum computed moments (QCM) method to estimate the dipole moment of a water molecule on an IBM Quantum superconducting quantum device.<n>The noise-mitigated results agree with full configuration interaction (FCI) calculations to within 0.03 $pm$ 0.007 debye (2% $pm$ 0.5%)<n>This demonstrates that moments-based energy estimation techniques can be adapted to noise-robust evaluation of non-energetic ground-state properties of chemical systems.
• Score: 0.07456526005219317
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: With rapid progress being made in the development of platforms for quantum computation, there has been considerable interest in whether present-day and near-term devices can be used to solve problems of relevance. A commonly cited application area is the domain of quantum chemistry. While most experimental demonstrations of quantum chemical calculations on quantum devices have focused on the ground-state electronic energy of the system, other properties of the ground-state, such as the electric dipole moment, are also of interest. Here we employ the quantum computed moments (QCM) method, based on the Lanczos cluster expansion, to estimate the dipole moment of the water molecule on an IBM Quantum superconducting quantum device. The noise-mitigated results agree with full configuration interaction (FCI) calculations to within 0.03 $\pm$ 0.007 debye (2% $\pm$ 0.5%), compared to direct expectation value determination (i.e. VQE) with errors on the order of 0.07 debye (5%), even when the VQE calculation is performed without noise. This demonstrates that moments-based energy estimation techniques can be adapted to noise-robust evaluation of non-energetic ground-state properties of chemical systems.

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