Introduction to Quantum Algorithms for Physics and Chemistry

TL;DR

This paper reviews quantum algorithms applied to physics and chemistry, covering simulation methods for electronic structures, thermal states, dynamics, and density functional theory, highlighting their potential for scientific advancements.

Contribution

It provides a comprehensive overview of quantum algorithms tailored for physics and chemistry applications, emphasizing recent developments and their significance.

Findings

Quantum simulation algorithms enable efficient electronic-structure calculations.

Quantum methods can simulate thermal states and time dynamics.

Adiabatic quantum simulation offers new approaches for complex systems.

Abstract

In this introductory review, we focus on applications of quantum computation to problems of interest in physics and chemistry. We describe quantum simulation algorithms that have been developed for electronic-structure problems, thermal-state preparation, simulation of time dynamics, adiabatic quantum simulation, and density functional theory.