化学应用中的量子特征向量延拓

IF 2.9 Q3 CHEMISTRY, PHYSICAL Electronic Structure Pub Date : 2023-11-10 DOI:10.1088/2516-1075/ad018f
Carlos Mejuto-Zaera, Alexander F Kemper
{"title":"化学应用中的量子特征向量延拓","authors":"Carlos Mejuto-Zaera, Alexander F Kemper","doi":"10.1088/2516-1075/ad018f","DOIUrl":null,"url":null,"abstract":"Abstract A typical task for classical and quantum computing in chemistry is finding a potential energy surface (PES) along a reaction coordinate, which involves solving the quantum chemistry problem for many points along the reaction path. Developing algorithms to accomplish this task on quantum computers has been an active area of development, yet finding all the relevant eigenstates along the reaction coordinate remains a difficult problem, and determining PESs is thus a costly proposal. In this paper, we demonstrate the use of a eigenvector continuation—a subspace expansion that uses a few eigenstates as a basis—as a tool for rapidly exploring PESs. We apply this to determining the binding PES or torsion PES for several molecules of varying complexity. In all cases, we show that the PES can be captured using relatively few basis states; suggesting that a significant amount of (quantum) computational effort can be saved by making use of already calculated ground states in this manner.","PeriodicalId":42419,"journal":{"name":"Electronic Structure","volume":"75 13","pages":"0"},"PeriodicalIF":2.9000,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Quantum Eigenvector Continuation for Chemistry Applications\",\"authors\":\"Carlos Mejuto-Zaera, Alexander F Kemper\",\"doi\":\"10.1088/2516-1075/ad018f\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract A typical task for classical and quantum computing in chemistry is finding a potential energy surface (PES) along a reaction coordinate, which involves solving the quantum chemistry problem for many points along the reaction path. Developing algorithms to accomplish this task on quantum computers has been an active area of development, yet finding all the relevant eigenstates along the reaction coordinate remains a difficult problem, and determining PESs is thus a costly proposal. In this paper, we demonstrate the use of a eigenvector continuation—a subspace expansion that uses a few eigenstates as a basis—as a tool for rapidly exploring PESs. We apply this to determining the binding PES or torsion PES for several molecules of varying complexity. In all cases, we show that the PES can be captured using relatively few basis states; suggesting that a significant amount of (quantum) computational effort can be saved by making use of already calculated ground states in this manner.\",\"PeriodicalId\":42419,\"journal\":{\"name\":\"Electronic Structure\",\"volume\":\"75 13\",\"pages\":\"0\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2023-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Electronic Structure\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1088/2516-1075/ad018f\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CHEMISTRY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electronic Structure","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1088/2516-1075/ad018f","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 3

摘要

化学中经典计算和量子计算的一个典型任务是沿反应坐标寻找势能面,这涉及到沿反应路径求解多个点的量子化学问题。在量子计算机上开发完成这项任务的算法一直是一个活跃的发展领域,但是找到沿反应坐标的所有相关特征态仍然是一个难题,因此确定PESs是一个昂贵的建议。在本文中,我们演示了使用特征向量延拓-一种使用几个特征态作为基础的子空间展开-作为快速探索PESs的工具。我们将此应用于确定不同复杂性的几个分子的结合PES或扭转PES。在所有情况下,我们都表明可以使用相对较少的基状态捕获PES;这表明,通过以这种方式利用已经计算出的基态,可以节省大量的(量子)计算工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Quantum Eigenvector Continuation for Chemistry Applications
Abstract A typical task for classical and quantum computing in chemistry is finding a potential energy surface (PES) along a reaction coordinate, which involves solving the quantum chemistry problem for many points along the reaction path. Developing algorithms to accomplish this task on quantum computers has been an active area of development, yet finding all the relevant eigenstates along the reaction coordinate remains a difficult problem, and determining PESs is thus a costly proposal. In this paper, we demonstrate the use of a eigenvector continuation—a subspace expansion that uses a few eigenstates as a basis—as a tool for rapidly exploring PESs. We apply this to determining the binding PES or torsion PES for several molecules of varying complexity. In all cases, we show that the PES can be captured using relatively few basis states; suggesting that a significant amount of (quantum) computational effort can be saved by making use of already calculated ground states in this manner.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
3.70
自引率
11.50%
发文量
46
期刊最新文献
Improving the precision of work-function calculations within plane-wave density functional theory Self-similarity of quantum transport in graphene using electrostatic gate and substrate Facilities and practices for linear response Hubbard parameters U and J in Abinit Approaching periodic systems in ensemble density functional theory via finite one-dimensional models Doping dependence and multichannel mediators of superconductivity: calculations for a cuprate model
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1