SHARC meets TEQUILA: Mixed Quantum-Classical Dynamics on a Quantum Computer using a Hybrid Quantum-Classical Algorithm

IF 7.6 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Chemical Science Pub Date : 2024-11-28 DOI:10.1039/d4sc04987j
Eduarda Sangiogo Gil, Markus Oppel, Jakob S Kottmann, Leticia González
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Abstract

Recent developments in quantum computing are highly promising, particularly in the realm of quantum chemistry. Due to the noisy nature of currently available quantum hardware, hybrid quantum-classical algorithms have emerged as a reliable option for near-term simulations. Mixed quantum-classical dynamics methods effectively capture nonadiabatic effects by integrating classical nuclear dynamics with quantum chemical computations of the electronic properties. However, these methods face challenges due to the high computational cost of the quantum chemistry part. To mitigate the computational demand, we propose a method where the required electronic properties are computed through a hybrid quantum-classical approach on combination of classical and quantum hardware. This framework employs the variational quantum eigensolver and variational quantum deflation algorithms to obtain ground and excited state energies, gradients, nonadiabatic coupling vectors, and transition dipole moments. These quantities are used to propagate the nonadiabatic molecular dynamics using the Tully’s fewest switches surface hopping method, although the implementation is also compatible with other molecular dynamics approaches. The approach, implemented by integrating the molecular dynamics program package SHARC with the TEQUILA quantum computing framework, is validated by studying the cis-trans photoisomerization of methanimine and the electronic relaxation of ethylene. The results show qualitatively accurate molecular dynamics that align with experimental findings and other computational studies. This work is expected to mark a significant step towards achieving a “quantum advantage” for realistic chemical simulations.
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SHARC 与 TEQUILA 的结合:量子计算机上的量子-经典混合动力学与量子-经典混合算法
量子计算的最新发展前景非常广阔,尤其是在量子化学领域。由于目前可用的量子硬件存在噪声,混合量子-经典算法已成为近期模拟的可靠选择。混合量子-经典动力学方法通过整合经典核动力学和电子特性的量子化学计算,有效捕捉非绝热效应。然而,由于量子化学部分的计算成本较高,这些方法面临着挑战。为了缓解计算需求,我们提出了一种方法,通过结合经典和量子硬件的量子-经典混合方法计算所需的电子特性。该框架采用可变量子求解器和可变量子放缩算法来获得基态和激发态能量、梯度、非绝热耦合向量和过渡偶极矩。这些量被用于使用塔利最小开关表面跳转法传播非绝热分子动力学,尽管其实现也与其他分子动力学方法兼容。该方法是通过将分子动力学程序包 SHARC 与 TEQUILA 量子计算框架相集成而实现的,并通过研究甲亚胺的顺反光异构化和乙烯的电子弛豫进行了验证。研究结果表明,分子动力学定性精确,与实验结果和其他计算研究结果一致。这项工作有望为现实化学模拟实现 "量子优势 "迈出重要一步。
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来源期刊
Chemical Science
Chemical Science CHEMISTRY, MULTIDISCIPLINARY-
CiteScore
14.40
自引率
4.80%
发文量
1352
审稿时长
2.1 months
期刊介绍: Chemical Science is a journal that encompasses various disciplines within the chemical sciences. Its scope includes publishing ground-breaking research with significant implications for its respective field, as well as appealing to a wider audience in related areas. To be considered for publication, articles must showcase innovative and original advances in their field of study and be presented in a manner that is understandable to scientists from diverse backgrounds. However, the journal generally does not publish highly specialized research.
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