Implicit Solvent Sample-Based Quantum Diagonalization.

IF 2.8 2区 化学 Q3 CHEMISTRY, PHYSICAL
Danil Kaliakin, Akhil Shajan, Fangchun Liang, Kenneth M Merz
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引用次数: 0

Abstract

The sample-based quantum diagonalization (SQD) method shows great promise in quantum-centric simulations of ground state energies in molecular systems. Inclusion of solute-solvent interactions in simulations of electronic structure is critical for biochemical and medical applications. However, all of the previous applications of the SQD method were shown for gas-phase simulations of the electronic structure. The present work aims to bridge this gap by introducing the integral equation formalism polarizable continuum model (IEF-PCM) of solvent into the SQD calculations. We perform SQD/cc-pVDZ IEF-PCM simulations of methanol, methylamine, ethanol, and water in aqueous solution using quantum hardware and compare our results to CASCI/cc-pVDZ IEF-PCM simulations. Our simulations on ibm_cleveland, ibm_kyiv, and ibm_marrakesh quantum devices are performed with 27, 30, 41, and 52 qubits demonstrating the scalability of SQD IEF-PCM simulations.

基于隐式溶剂样品的量子对角化。
基于样品的量子对角化(SQD)方法在分子系统基态能量的量子中心模拟中显示出巨大的前景。在电子结构模拟中包含溶质-溶剂相互作用对生化和医学应用至关重要。然而,之前SQD方法的所有应用都显示了电子结构的气相模拟。本工作旨在通过将溶剂的积分方程形式极化连续体模型(IEF-PCM)引入SQD计算来弥合这一差距。我们使用量子硬件对水溶液中的甲醇、甲胺、乙醇和水进行了SQD/cc-pVDZ IEF-PCM模拟,并将结果与CASCI/cc-pVDZ IEF-PCM模拟进行了比较。我们在ibm_cleveland、ibm_kyiv和ibm_marrakesh量子器件上进行了27、30、41和52个量子比特的模拟,证明了SQD IEF-PCM模拟的可扩展性。
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来源期刊
CiteScore
5.80
自引率
9.10%
发文量
965
审稿时长
1.6 months
期刊介绍: An essential criterion for acceptance of research articles in the journal is that they provide new physical insight. Please refer to the New Physical Insights virtual issue on what constitutes new physical insight. Manuscripts that are essentially reporting data or applications of data are, in general, not suitable for publication in JPC B.
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