HIVQE: Handover Iterative Variational Quantum Eigensolver for Efficient Quantum Chemistry Calculations

A novel hybrid quantum-classical approach has been developed to efficiently address the multireference quantum chemistry problem. The Handover Iterative Variational Quantum Eigensolver (HiVQE) is designed to accurately estimate ground-state wavefunctions by leveraging both quantum and classical computing resources. In this framework, noisy intermediate-scale quantum (NISQ) hardwares efficiently explore electron configurations, while classical computers compute the corresponding wavefunction without the effect of noise of NISQ computer, ensuring both accuracy and computational efficiency. By generating compact yet chemically accurate wavefunctions, HiVQE advances quantum chemistry simulations and facilitates the discovery of novel materials. This approach demonstrates significant potential for overcoming the limitations of classical methods in strongly correlated electronic systems.

Publication Details

Journal
ArXiv.org
Published
2025-03-08
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00
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article

HIVQE: Handover Iterative Variational Quantum Eigensolver for Efficient Quantum Chemistry Calculations

ArXiv.org
Quantum Computing Algorithms and Architecture
article

HIVQE: Handover Iterative Variational Quantum Eigensolver for Efficient Quantum Chemistry Calculations

article en

Abstract

A novel hybrid quantum-classical approach has been developed to efficiently address the multireference quantum chemistry problem. The Handover Iterative Variational Quantum Eigensolver (HiVQE) is designed to accurately estimate ground-state wavefunctions by leveraging both quantum and classical computing resources. In this framework, noisy intermediate-scale quantum (NISQ) hardwares efficiently explore electron configurations, while classical computers compute the corresponding wavefunction without the effect of noise of NISQ computer, ensuring both accuracy and computational efficiency. By generating compact yet chemically accurate wavefunctions, HiVQE advances quantum chemistry simulations and facilitates the discovery of novel materials. This approach demonstrates significant potential for overcoming the limitations of classical methods in strongly correlated electronic systems.

ArXiv.org
Openalex Percentile: Top 73%
Quantum Computing Algorithms and Architecture
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