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« Paper » of the week: Quantum Chemistry in the Age of Quantum Computing



Every week, Quantaneo selects from the scientific literature an academic article about quantum computing. We do not claim to judge the content of published articles. It is a purely subjective choice, of an article that interested the editorial team and that we would like to share with you.


September 12th 2019 | 1264 readers

Photo by Claudia on Unsplash
Photo by Claudia on Unsplash
This week: Quantum Chemistry in the Age of Quantum Computing by 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, and Alán Aspuru-Guzik
 
Date of publication: 30/08/2019

To cite this paper: 
Quantum Chemistry in the Age of Quantum Computing
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, and Alán Aspuru-Guzik
Chemical Reviews Article ASAP
DOI: 10.1021/acs.chemrev.8b00803


Links:

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 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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