Hamiltonian-Informed Point Group Symmetry-Respecting Ansatz for Variational Quantum Eigensolver
Runhong He, Arapat Ablimit, Xin Hong, Qiaozhen Chai, Junyuan Zhou, Ji Guan, Guolong Cui, Shenggang Ying

TL;DR
This paper introduces HiUCCSD, a symmetry-respecting ansatz for VQE that leverages Hamiltonian information to improve stability and applicability across different molecular point groups, reducing parameters and operator pool size.
Contribution
The paper presents HiUCCSD, a novel Hamiltonian-informed ansatz that respects point group symmetries, enhancing VQE performance and efficiency, especially for non-Abelian molecules.
Findings
HiUCCSD performs comparably to SymUCCSD for Abelian point groups.
HiUCCSD avoids performance issues in non-Abelian point groups.
It reduces parameter count and operator pool size significantly.
Abstract
Solving molecular energy levels via the Variational Quantum Eigensolver (VQE) algorithm represents one of the most promising applications for demonstrating practically meaningful quantum advantage in the noisy intermediate-scale quantum (NISQ) era. To strike a balance between ansatz complexity and computational stability in VQE calculations, we propose the HiUCCSD, a novel symmetry-respecting ansatz engineered from the intrinsic information of the Hamiltonian. We theoretically prove the effectiveness of HiUCCSD within the scope of Abelian point groups. Furthermore, we compare the performance of HiUCCSD and the established SymUCCSD via VQE and Adaptive Derivative-Assembled Pseudo-Trotter (ADAPT)-VQE numerical experiments on ten molecules with distinct point groups. The results show that HiUCCSD achieves equivalent performance to SymUCCSD for Abelian point group molecules, while avoiding…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Spectroscopy and Quantum Chemical Studies · Quantum Information and Cryptography
