Quantum Assisted Simulator

Kishor Bharti, T. Haug
{"title":"Quantum Assisted Simulator","authors":"Kishor Bharti, T. Haug","doi":"10.1103/PhysRevA.104.042418","DOIUrl":null,"url":null,"abstract":"Quantum simulation offers a possibility to explore the exponentially large configuration space of quantum mechanical systems and thus help us study poorly understood topics such as high-temperature superconductivity and drug design. Here, we provide a novel hybrid quantum-classical algorithm for simulating the dynamics of quantum systems. Without loss of generality, the Hamiltonian is assumed to be a linear combination of unitaries and the Ansatz wavefunction is taken as a linear combination of quantum states. The quantum states are fixed, and the combination parameters are variationally adjusted. Unlike existing variational quantum simulation algorithms, our algorithm does not require any classical-quantum feedback loop and by construction bypasses the barren plateau problem. Moreover, our algorithm does not require any complicated measurements, such as the Hadamard test. The entire framework is compatible with existing experimental capabilities and thus can be implemented immediately. We also provide an extension of our algorithm to imaginary time evolution.","PeriodicalId":8484,"journal":{"name":"arXiv: Quantum Physics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"43","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv: Quantum Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1103/PhysRevA.104.042418","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 43

Abstract

Quantum simulation offers a possibility to explore the exponentially large configuration space of quantum mechanical systems and thus help us study poorly understood topics such as high-temperature superconductivity and drug design. Here, we provide a novel hybrid quantum-classical algorithm for simulating the dynamics of quantum systems. Without loss of generality, the Hamiltonian is assumed to be a linear combination of unitaries and the Ansatz wavefunction is taken as a linear combination of quantum states. The quantum states are fixed, and the combination parameters are variationally adjusted. Unlike existing variational quantum simulation algorithms, our algorithm does not require any classical-quantum feedback loop and by construction bypasses the barren plateau problem. Moreover, our algorithm does not require any complicated measurements, such as the Hadamard test. The entire framework is compatible with existing experimental capabilities and thus can be implemented immediately. We also provide an extension of our algorithm to imaginary time evolution.
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
量子辅助模拟器
量子模拟提供了一种探索量子力学系统的指数级大构型空间的可能性,从而帮助我们研究诸如高温超导和药物设计等鲜为人知的主题。在这里,我们提供了一种新的量子-经典混合算法来模拟量子系统的动力学。在不失一般性的前提下,将哈密顿量假定为酉元的线性组合,将安萨茨波函数假定为量子态的线性组合。量子态是固定的,组合参数是可变调整的。与现有的变分量子模拟算法不同,我们的算法不需要任何经典量子反馈回路,并且通过构造绕过了贫瘠高原问题。此外,我们的算法不需要任何复杂的测量,如Hadamard测试。整个框架与现有的实验能力兼容,因此可以立即实施。我们也提供了我们的算法扩展到虚时间演化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Generative Quantum Machine Learning A Wave Nature-Based Interpretation of The Nonclassical Feature of Photon Bunching On A Beam Splitter The Future of Quantum Theory: A Way Out of the Impasse Partial Measurements of Quantum Systems Emergence of the Classical from within the Quantum Universe
×
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