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arXiv 2602.02695quant-phmath-phmath.MP
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将变分量子算法整合到原子模拟工作流中

Integration of Variational Quantum Algorithms into Atomistic Simulation Workflows

Institute for Physical and Theoretical Chemistry, Bremen Center for Computational Materials Science University of Bremen and MAPEX Center for Materials and Processes(不莱梅大学物理与理论化学研究所、不莱梅计算材料科学中心以及材料与过程MAPEX中心)

Wilke Dononelli

AI总结:

本研究将变分量子算法整合到原子模拟中,用于几何优化和分子动力学等任务,展示其在计算化学中的应用潜力。

摘要:

在本工作中,我们展示了将Qiskit Nature的量子化学求解器整合到原子模拟环境(ASE)中,从而实现混合量子-经典工作流,用于受力驱动的原子模拟。这种耦合使VQE及其自适应变体(ADAPT-VQE)不仅可用于基态能量计算,还可用于几何优化、振动频率分析、应变评估和分子动力学,所有这些均通过ASE的计算器接口进行管理。通过将ADAPT-VQE应用于多电子系统,如BeH2,我们获得的振动和结构特性与相同最小基组下的高阶经典CCSD计算结果非常接近。这些结果表明,自适应变分量子算法能够在原子模拟工作流中提供稳定且具有化学意义的力,从而支持下游应用,如分子动力学和主动学习加速模拟。

英文摘要:

In this work, we present the integration of Qiskit Nature's quantum chemistry solvers into the Atomic Simulation Environment (ASE), enabling hybrid quantum-classical workflows for force-driven atomistic simulations. This coupling allows the use of the Variational Quantum Eigensolver (VQE) and its adaptive variant (ADAPT-VQE) not only for ground-state energy calculations, but also for geometry optimisation, vibrational frequency analysis, strain evaluation, and molecular dynamics, all managed through ASE's calculator interface. By applying ADAPT-VQE to multi-electron systems such as BeH2, we obtain vibrational and structural properties in close agreement with high-level classical CCSD calculations within the same minimal basis. These results demonstrate that adaptive variational quantum algorithms can deliver stable and chemically meaningful forces within an atomistic modelling workflow, enabling downstream applications such as molecular dynamics and active-learning accelerated simulations.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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