Circuit-Efficient Qubit Excitation-Based Variational Quantum Eigensolver

The adaptive derivative-assembled pseudo-trotter (ADAPT) variational quantum eigensolver (VQE) is an appealing framework for iteratively constructing accurate representations of ground- and excited-state wave functions as products of exponentialized one- and two-body operators acting on a reference state. In this work, we propose a CNOT-efficient circuit for implementing exponentialized two-body qubit-excitation-based (QEB) operators, enabling the construction of the low-depth wave function Ansätze. Our proposed circuit architecture employs a 2-qubit-controlled rotation gate flanked by two layers of CNOT gates, requiring only 9 CNOT gates per two-body QEB operator while preserving essential symmetries, including particle number and the <i>Z</i>-component of spin. By integrating these optimized circuits into the ADAPT-VQE framework, we achieve a reduction in circuit depth of approximately 28% compared to the original QEB ADAPT-VQE method, without sacrificing accuracy in simulating ground- and excited-state properties of small molecules. Numerical simulations validate the improved performance of our approach, demonstrating its potential as an efficient tool for quantum simulations of electronic structures.

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Publication Details

Journal
Journal of Chemical Theory and Computation
Published
2025-05-08
DOI
https://doi.org/10.1021/acs.jctc.5c00119
Citations
5
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
12.40

Funders

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article

Circuit-Efficient Qubit Excitation-Based Variational Quantum Eigensolver

Jie Liu, Zhenyu Li, Xiaopeng Li, Jinlong Yang et al.
5 citations
Journal of Chemical Theory and Computation
Quantum Computing Algorithms and Architecture
12.40
article

Circuit-Efficient Qubit Excitation-Based Variational Quantum Eigensolver

Jie Liu, Zhenyu Li, Xiaopeng Li, Jinlong Yang, Zhijie Sun
article en
5 citations

Abstract

The adaptive derivative-assembled pseudo-trotter (ADAPT) variational quantum eigensolver (VQE) is an appealing framework for iteratively constructing accurate representations of ground- and excited-state wave functions as products of exponentialized one- and two-body operators acting on a reference state. In this work, we propose a CNOT-efficient circuit for implementing exponentialized two-body qubit-excitation-based (QEB) operators, enabling the construction of the low-depth wave function Ansätze. Our proposed circuit architecture employs a 2-qubit-controlled rotation gate flanked by two layers of CNOT gates, requiring only 9 CNOT gates per two-body QEB operator while preserving essential symmetries, including particle number and the <i>Z</i>-component of spin. By integrating these optimized circuits into the ADAPT-VQE framework, we achieve a reduction in circuit depth of approximately 28% compared to the original QEB ADAPT-VQE method, without sacrificing accuracy in simulating ground- and excited-state properties of small molecules. Numerical simulations validate the improved performance of our approach, demonstrating its potential as an efficient tool for quantum simulations of electronic structures.

Journal of Chemical Theory and ComputationVol. 21(10)
University of Science and Technology of China (CN), Hefei University (CN)
National Natural Science Foundation of China, Chinese Academy of Sciences
Affordable and clean energy
Openalex Percentile: Top 2%
Quantum Computing Algorithms and Architecture
12.40
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Circuit-Efficient Qubit Excitation-Based Variational Quantum Eigensolver — Jie Liu, Zhenyu Li, et al. · Journal of Chemical Theory and Computation (2025) | TGRS Research Map | TGRS