An approach to quantum-computational hydrologic inverse analysis

Abstract Making predictions about flow and transport in an aquifer requires knowledge of the heterogeneous properties of the aquifer such as permeability. Computational methods for inverse analysis are commonly used to infer these properties from quantities that are more readily observable such as h...

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Autor principal:	Daniel O’Malley
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/174a1f5d63c145779b39a61a5ad610a1
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spelling	oai:doaj.org-article:174a1f5d63c145779b39a61a5ad610a12021-12-02T16:08:03ZAn approach to quantum-computational hydrologic inverse analysis10.1038/s41598-018-25206-02045-2322https://doaj.org/article/174a1f5d63c145779b39a61a5ad610a12018-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-25206-0https://doaj.org/toc/2045-2322Abstract Making predictions about flow and transport in an aquifer requires knowledge of the heterogeneous properties of the aquifer such as permeability. Computational methods for inverse analysis are commonly used to infer these properties from quantities that are more readily observable such as hydraulic head. We present a method for computational inverse analysis that utilizes a type of quantum computer called a quantum annealer. While quantum computing is in an early stage compared to classical computing, we demonstrate that it is sufficiently developed that it can be used to solve certain subsurface flow problems. We utilize a D-Wave 2X quantum annealer to solve 1D and 2D hydrologic inverse problems that, while small by modern standards, are similar in size and sometimes larger than hydrologic inverse problems that were solved with early classical computers. Our results and the rapid progress being made with quantum computing hardware indicate that the era of quantum-computational hydrology may not be too far in the future.Daniel O’MalleyNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-9 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Daniel O’Malley An approach to quantum-computational hydrologic inverse analysis
description	Abstract Making predictions about flow and transport in an aquifer requires knowledge of the heterogeneous properties of the aquifer such as permeability. Computational methods for inverse analysis are commonly used to infer these properties from quantities that are more readily observable such as hydraulic head. We present a method for computational inverse analysis that utilizes a type of quantum computer called a quantum annealer. While quantum computing is in an early stage compared to classical computing, we demonstrate that it is sufficiently developed that it can be used to solve certain subsurface flow problems. We utilize a D-Wave 2X quantum annealer to solve 1D and 2D hydrologic inverse problems that, while small by modern standards, are similar in size and sometimes larger than hydrologic inverse problems that were solved with early classical computers. Our results and the rapid progress being made with quantum computing hardware indicate that the era of quantum-computational hydrology may not be too far in the future.
format	article
author	Daniel O’Malley
author_facet	Daniel O’Malley
author_sort	Daniel O’Malley
title	An approach to quantum-computational hydrologic inverse analysis
title_short	An approach to quantum-computational hydrologic inverse analysis
title_full	An approach to quantum-computational hydrologic inverse analysis
title_fullStr	An approach to quantum-computational hydrologic inverse analysis
title_full_unstemmed	An approach to quantum-computational hydrologic inverse analysis
title_sort	approach to quantum-computational hydrologic inverse analysis
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/174a1f5d63c145779b39a61a5ad610a1
work_keys_str_mv	AT danielomalley anapproachtoquantumcomputationalhydrologicinverseanalysis AT danielomalley approachtoquantumcomputationalhydrologicinverseanalysis
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An approach to quantum-computational hydrologic inverse analysis

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