# Quantum Chemistry in the Age of Quantum Computing

## TL;DR

Quantum computing offers promising new methods for simulating quantum systems in chemistry, overcoming classical computational limitations through algorithms and hardware advancements, potentially revolutionizing molecular electronic structure calculations.

## Contribution

This paper provides an overview of quantum algorithms and hardware developments relevant to quantum chemistry, bridging the gap between quantum computing and chemical applications.

## Key findings

- Quantum algorithms can efficiently simulate molecular electronic structures.
- Advances in quantum hardware enable practical quantum chemistry computations.
- Quantum superposition and entanglement are key to simulating complex quantum systems.

## Abstract

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 complexity 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 article is 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.