量子硬件计算铁集群和表面上的的激活和解离
Georgia Christopoulou1, Cono Di Paola1, Floris Eelke Elzinga2
1Quantinuum, Terrington House, 13-15 Hills Road, CB2 1NL, Cambridge, UK. Georgia.Christopoulou@quantinuum.com.
Physical chemistry chemical physics : PCCP
|February 5, 2024
概括
这项研究介绍了催化剂设计的混合量子-经典方法,表明量子计算可以准确地模拟转化为氨的转化,这对化学工业至关重要.
科学领域:
- 计算化学计算化学
- 量子计算是一种量子计算.
- 材料科学 材料科学 材料科学
背景情况:
- 催化工艺对于化学工业至关重要,转化为氨是主要的工业应用.
- 目前的计算方法,如密度函数理论 (DFT),对于强烈相关的材料缺乏准确性.
- 对于复杂的催化循环,严格的ab initio方法在计算上昂贵.
研究的目的:
- 开发和演示混合量子-经典工作流程,用于模拟表面上的催化反应.
- 将此工作流应用于铁基模型上的激活和解离.
- 评估量子计算在准确的催化循环建模方面的潜力.
主要方法:
- 使用DFT用于催化物种的初始结构确定.
- 用完整的活跃空间自相一致的场 (CASSCF) 来研究电子结构.
- 在量子硬件和模拟器上使用量子算法 (自适应变量量子Eigensolver) 进行能量估计,将CASSCF波函数翻译为量子状态.
主要成果:
- 成功解了Fe-3d带轨道,显著减少了活性空间.
- 在古典和量子计算方法之间达成合理的协议,用于具有小活性空间的基本状态能量.
- 证明了使用量子计算来建模催化过程的可行性.
结论:
- 介绍的混合工作流显示了对催化反应准确建模的希望.
- 可扩展的量子计算可以为计算催化提供显著的优势.
- 这种方法可以加速用于工业应用的催化剂的合理设计.
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