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Biology and medicine in the landscape of quantum advantages

Quantum computing holds substantial potential for applications in biology and medicine, spanning from the simulation of biomolecules to machine learning methods for subtyping cancers on the basis of clinical features. This potential is encapsulated by the concept of a quantum advantage, which is con...

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Autores principales: Cordier, Benjamin A., Sawaya, Nicolas P. D., Guerreschi, Gian Giacomo, McWeeney, Shannon K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9709576/
https://www.ncbi.nlm.nih.gov/pubmed/36448288
http://dx.doi.org/10.1098/rsif.2022.0541
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author Cordier, Benjamin A.
Sawaya, Nicolas P. D.
Guerreschi, Gian Giacomo
McWeeney, Shannon K.
author_facet Cordier, Benjamin A.
Sawaya, Nicolas P. D.
Guerreschi, Gian Giacomo
McWeeney, Shannon K.
author_sort Cordier, Benjamin A.
collection PubMed
description Quantum computing holds substantial potential for applications in biology and medicine, spanning from the simulation of biomolecules to machine learning methods for subtyping cancers on the basis of clinical features. This potential is encapsulated by the concept of a quantum advantage, which is contingent on a reduction in the consumption of a computational resource, such as time, space or data. Here, we distill the concept of a quantum advantage into a simple framework to aid researchers in biology and medicine pursuing the development of quantum applications. We then apply this framework to a wide variety of computational problems relevant to these domains in an effort to (i) assess the potential of practical advantages in specific application areas and (ii) identify gaps that may be addressed with novel quantum approaches. In doing so, we provide an extensive survey of the intersection of biology and medicine with the current landscape of quantum algorithms and their potential advantages. While we endeavour to identify specific computational problems that may admit practical advantages throughout this work, the rapid pace of change in the fields of quantum computing, classical algorithms and biological research implies that this intersection will remain highly dynamic for the foreseeable future.
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spelling pubmed-97095762022-12-07 Biology and medicine in the landscape of quantum advantages Cordier, Benjamin A. Sawaya, Nicolas P. D. Guerreschi, Gian Giacomo McWeeney, Shannon K. J R Soc Interface Review Articles Quantum computing holds substantial potential for applications in biology and medicine, spanning from the simulation of biomolecules to machine learning methods for subtyping cancers on the basis of clinical features. This potential is encapsulated by the concept of a quantum advantage, which is contingent on a reduction in the consumption of a computational resource, such as time, space or data. Here, we distill the concept of a quantum advantage into a simple framework to aid researchers in biology and medicine pursuing the development of quantum applications. We then apply this framework to a wide variety of computational problems relevant to these domains in an effort to (i) assess the potential of practical advantages in specific application areas and (ii) identify gaps that may be addressed with novel quantum approaches. In doing so, we provide an extensive survey of the intersection of biology and medicine with the current landscape of quantum algorithms and their potential advantages. While we endeavour to identify specific computational problems that may admit practical advantages throughout this work, the rapid pace of change in the fields of quantum computing, classical algorithms and biological research implies that this intersection will remain highly dynamic for the foreseeable future. The Royal Society 2022-11-30 /pmc/articles/PMC9709576/ /pubmed/36448288 http://dx.doi.org/10.1098/rsif.2022.0541 Text en © 2022 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited.
spellingShingle Review Articles
Cordier, Benjamin A.
Sawaya, Nicolas P. D.
Guerreschi, Gian Giacomo
McWeeney, Shannon K.
Biology and medicine in the landscape of quantum advantages
title Biology and medicine in the landscape of quantum advantages
title_full Biology and medicine in the landscape of quantum advantages
title_fullStr Biology and medicine in the landscape of quantum advantages
title_full_unstemmed Biology and medicine in the landscape of quantum advantages
title_short Biology and medicine in the landscape of quantum advantages
title_sort biology and medicine in the landscape of quantum advantages
topic Review Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9709576/
https://www.ncbi.nlm.nih.gov/pubmed/36448288
http://dx.doi.org/10.1098/rsif.2022.0541
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