Quantum-Centric Geometry Optimization with Wave-Function-Based Embedding
Abstract
The EWF-(FCI,SQD) method, a wave-function-based embedding approach combining full configuration interaction (FCI) and sample-based quantum diagonalization (SQD), is a promising new tool for the simulation of molecular systems. However, applications of EWF-(FCI,SQD) have so far been limited to single-point calculations, whereas the study of complex chemical processes requires the ability to explore potential energy surfaces. In this work, we demonstrate geometry optimization with EWF-(FCI,SQD), scaling our simulations to molecules as large as menthone and benzidine within the STO-3G basis set. Without fragmentation, these systems comprise 73 and 82 molecular orbitals respectively, presenting an intractable Hilbert space for conventional exact or high-level subspace solvers and establishing a clear necessity for fragmentation-based methodologies. The underlying fragment SQD simulations in the EWF-(FCI,SQD) geometry optimizations use up to 70 qubits. The resulting geometries show exceptional accuracy relative to the classical reference, with deviations below 4 picometers.
Cite
@article{arxiv.2607.16410,
title = {Quantum-Centric Geometry Optimization with Wave-Function-Based Embedding},
author = {Danil Kaliakin and Akhil Shajan and Fangchun Liang and Zhen Li and Kenneth M. Merz},
journal= {arXiv preprint arXiv:2607.16410},
year = {2026}
}