量子计算机
量子算法
量子技术
开放量子系统
量子
纳米量子科学
量子网络
量子信息
计算机科学
量子信息科学
量子模拟器
量子力学
量子动力学
物理
量子化学
态叠加原理
量子复杂性理论
量子排序
量子过程
理论计算机科学
量子传感器
理论物理学
计算科学
量子纠错
统计物理学
量子态
量子操作
化学
宏观量子现象
作者
Yudong Cao,Jonathan Romero,Jonathan P. Olson,Matthias Degroote,Peter D. Johnson,Mária Kieferová,Ian D. Kivlichan,Tim Menke,Borja Peropadre,Nicolas P. D. Sawaya,Sukin Sim,Libor Veis,Alán Aspuru-Guzik
出处
期刊:Chemical Reviews
[American Chemical Society]
日期:2019-08-30
卷期号:119 (19): 10856-10915
被引量:1394
标识
DOI:10.1021/acs.chemrev.8b00803
摘要
Practical challenges in simulating quantum systems on classical computers have been widely recognized in the quantum physics and quantum chemistry communities over the past century. Although many approximation methods have been introduced, the complexity of quantum mechanics remains hard to appease. The advent of quantum computation brings new pathways to navigate this challenging and complex landscape. By manipulating quantum states of matter and taking advantage of their unique features such as superposition and entanglement, quantum computers promise to efficiently deliver accurate results for many important problems in quantum chemistry, such as the electronic structure of molecules. In the past two decades, significant advances have been made in developing algorithms and physical hardware for quantum computing, heralding a revolution in simulation of quantum systems. This Review provides an overview of the algorithms and results that are relevant for quantum chemistry. The intended audience is both quantum chemists who seek to learn more about quantum computing and quantum computing researchers who would like to explore applications in quantum chemistry.
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