Exploring Hückel Molecular Orbital Energies through Variational and Phase Estimation Quantum Algorithms

Recent advances in quantum technologies have led to the development of several quantum algorithms for computing molecular energetics. However, most existing approaches are limited to determining ground-state energies with relatively few studies addressing multilevel systems. In this work, we explore two quantum algorithms capable of addressing multilevel molecular orbital (MO) energetics: the subspace search variational quantum eigensolver (SSVQE) and iterative quantum phase estimation (IQPE). To benchmark their performance, we employed an exactly solvable Hamiltonian derived from the Hückel method. Both SSVQE and IQPE successfully reproduced the MO energies. We further discussed quantum circuit design and measurement noise using SSVQE. We found out the critical influence of quantum circuit design on computational accuracy. By examining SSVQE under noisy conditions, we could discuss its feasibility for implementation on near-term quantum hardware.

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Publication Details

Journal
The Journal of Physical Chemistry Letters
Published
2026-02-16
DOI
https://doi.org/10.1021/acs.jpclett.5c03857
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00

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article

Exploring Hückel Molecular Orbital Energies through Variational and Phase Estimation Quantum Algorithms

Kang-Min Hu, Da Bean Han, Hyun Woo Kim, Hyang-Tag Lim
The Journal of Physical Chemistry Letters
Quantum Computing Algorithms and Architecture
article

Exploring Hückel Molecular Orbital Energies through Variational and Phase Estimation Quantum Algorithms

Kang-Min Hu, Da Bean Han, Hyun Woo Kim, Hyang-Tag Lim
article en

Abstract

Recent advances in quantum technologies have led to the development of several quantum algorithms for computing molecular energetics. However, most existing approaches are limited to determining ground-state energies with relatively few studies addressing multilevel systems. In this work, we explore two quantum algorithms capable of addressing multilevel molecular orbital (MO) energetics: the subspace search variational quantum eigensolver (SSVQE) and iterative quantum phase estimation (IQPE). To benchmark their performance, we employed an exactly solvable Hamiltonian derived from the Hückel method. Both SSVQE and IQPE successfully reproduced the MO energies. We further discussed quantum circuit design and measurement noise using SSVQE. We found out the critical influence of quantum circuit design on computational accuracy. By examining SSVQE under noisy conditions, we could discuss its feasibility for implementation on near-term quantum hardware.

The Journal of Physical Chemistry LettersVol. 17(8)
Gwangju Institute of Science and Technology (KR), Quantum (Australia) (AU), Korea Institute of Science and Technology (KR), Korea University of Science and Technology (KR)
National Research Foundation, Korea Institute of Science and Technology, Korea Institute of Science and Technology Information, National Research Foundation of Korea, Ministry of Science and ICT, South Korea
Affordable and clean energy
Openalex Percentile: Top 56%
Quantum Computing Algorithms and Architecture
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