Quantum machine learning for chemistry and physics-Reference-Cited by-同舟云学术

Quantum machine learning for chemistry and physics

Published:2022 Issue:15 Volume:51 Page:6475-6573
ISSN:0306-0012
Container-title:Chemical Society Reviews
language:en
Short-container-title:Chem. Soc. Rev.

Author:

Sajjan Manas¹²^ORCID,Li Junxu²³^ORCID,Selvarajan Raja²³,Sureshbabu Shree Hari²⁴^ORCID,Kale Sumit Suresh¹²^ORCID,Gupta Rishabh¹²,Singh Vinit¹²,Kais Sabre¹²³⁴^ORCID

Affiliation:

1. Department of Chemistry, Purdue University, West Lafayette, IN-47907, USA

2. Purdue Quantum Science and Engineering Institute, Purdue University, West Lafayette, Indiana 47907, USA

3. Department of Physics and Astronomy, Purdue University, West Lafayette, IN-47907, USA

4. Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN-47907, USA

Abstract

Quantum variants of machine learning algorithms are discussed with emphasis on methodology, learning techniques and applications in broad and distinct domains of chemical physics.

Funder

National Science Foundation

Basic Energy Sciences

Office of Science

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2022/CS/D2CS00203E

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