Introduction to Quantum Algorithms for Physics and Chemistry

M. Yung, J. Whitfield, S. Boixo, D. G. Tempel, A. Aspuru‐Guzik
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引用次数: 57

Abstract

An enormous number of model chemistries are used in computational chemistry to solve or approximately solve the Schrodinger equation; each with their own drawbacks. One key limitation is that the hardware used in computational chemistry is based on classical physics, and is often not well suited for simulating models in quantum physics. In this review, we focus on applications of quantum computation to chemical physics problems. We describe the algorithms that have been proposed for the electronic- structure problem, the simulation of chemical dynamics, thermal state preparation, density functional theory and adiabatic quantum simulation.
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物理和化学量子算法导论
计算化学中使用了大量的模型化学来求解或近似求解薛定谔方程;每一种都有自己的缺点。一个关键的限制是,计算化学中使用的硬件是基于经典物理的,通常不太适合模拟量子物理中的模型。本文主要介绍了量子计算在化学物理问题中的应用。我们描述了电子结构问题、化学动力学模拟、热态制备、密度泛函理论和绝热量子模拟的算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Advances in Chemical Physics
Advances in Chemical Physics PHYSICS, ATOMIC, MOLECULAR & CHEMICAL-
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期刊介绍: A landmark in publishing and science, Advances in Chemical Physics is an international forum for the review and critical evaluation of the science that has propelled every area of the discipline. Each volume contains discussions of aspects of the state of diverse subjects in chemical physics and related fields, with chapters written by top researchers in the field from around the world. The series now comprises more than 150 volumes covering the period from the mid 1960’s to the present. Collectively, they represent the history of modern chemical physics. Discussions of all areas of chemical physics, with extensions to biophysics and soft matter physics can be found in these volumes.
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