Suppr超能文献

数字量子计算机上的量子多体模拟:现状与未来挑战。

Quantum many-body simulations on digital quantum computers: State-of-the-art and future challenges.

作者信息

Fauseweh Benedikt

机构信息

Institute for Software Technology, German Aerospace Center (DLR), Linder Höhe, 51147, Cologne, Germany.

Department of Physics, TU Dortmund University, Otto-Hahn-Str. 4, 44227, Dortmund, Germany.

出版信息

Nat Commun. 2024 Mar 8;15(1):2123. doi: 10.1038/s41467-024-46402-9.

Abstract

Simulating quantum many-body systems is a key application for emerging quantum processors. While analog quantum simulation has already demonstrated quantum advantage, its digital counterpart has recently become the focus of intense research interest due to the availability of devices that aim to realize general-purpose quantum computers. In this perspective, we give a selective overview of the currently pursued approaches, review the advances in digital quantum simulation by comparing non-variational with variational approaches and identify hardware and algorithmic challenges. Based on this review, the question arises: What are the most promising problems that can be tackled with digital quantum simulation? We argue that problems of a qualitative nature are much more suitable for near-term devices then approaches aiming purely for a quantitative accuracy improvement.

摘要

模拟量子多体系统是新兴量子处理器的一项关键应用。虽然模拟量子模拟已经展现出量子优势,但其数字模拟对应物由于旨在实现通用量子计算机的设备的出现,最近已成为深入研究兴趣的焦点。从这个角度出发,我们对当前所采用的方法进行了选择性概述,通过比较非变分方法和变分方法来回顾数字量子模拟的进展,并确定硬件和算法方面的挑战。基于此综述,问题来了:哪些是最有希望能用数字量子模拟解决的问题?我们认为,定性性质的问题比单纯旨在提高定量精度的方法更适合近期设备。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7595/10923891/b40d2a363ba4/41467_2024_46402_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验