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Quantum range-migration-algorithm for synthetic aperture radar applications
The 3D range-migration algorithm (RMA) and its 2D equivalent, the omega-k algorithm, are employed in a wide range of applications where reconstruction of synthetic aperture data is required, from satellite radar imaging of planets over seismic imaging of the earth crust, down to phased-array ultraso...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10349807/ https://www.ncbi.nlm.nih.gov/pubmed/37454236 http://dx.doi.org/10.1038/s41598-023-38611-x |
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author | Waller, Erik H. Keil, Andreas Friederich, Fabian |
author_facet | Waller, Erik H. Keil, Andreas Friederich, Fabian |
author_sort | Waller, Erik H. |
collection | PubMed |
description | The 3D range-migration algorithm (RMA) and its 2D equivalent, the omega-k algorithm, are employed in a wide range of applications where reconstruction of synthetic aperture data is required, from satellite radar imaging of planets over seismic imaging of the earth crust, down to phased-array ultrasound and ultrasonic application, and recently in-line synthetic aperture radar for non-destructive testing. These algorithms are based on Fourier transforms and share their time-complexity. This limits highly-resolved measurement data to be processed at high speeds which would be advantageous for modern production feed lines. In this publication, we present the development and implementation of the RMA on a quantum computer that scales favourably compared to the time complexity of the classical RMA. We compare reconstruction results of simulated and measured data of the classical and quantum RMA. Hereby, the quantum RMA is run on a quantum simulator backend as well as on IBM’s Q System One quantum computer. The results show that real world applications and testing tasks may benefit from future quantum computers. |
format | Online Article Text |
id | pubmed-10349807 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-103498072023-07-17 Quantum range-migration-algorithm for synthetic aperture radar applications Waller, Erik H. Keil, Andreas Friederich, Fabian Sci Rep Article The 3D range-migration algorithm (RMA) and its 2D equivalent, the omega-k algorithm, are employed in a wide range of applications where reconstruction of synthetic aperture data is required, from satellite radar imaging of planets over seismic imaging of the earth crust, down to phased-array ultrasound and ultrasonic application, and recently in-line synthetic aperture radar for non-destructive testing. These algorithms are based on Fourier transforms and share their time-complexity. This limits highly-resolved measurement data to be processed at high speeds which would be advantageous for modern production feed lines. In this publication, we present the development and implementation of the RMA on a quantum computer that scales favourably compared to the time complexity of the classical RMA. We compare reconstruction results of simulated and measured data of the classical and quantum RMA. Hereby, the quantum RMA is run on a quantum simulator backend as well as on IBM’s Q System One quantum computer. The results show that real world applications and testing tasks may benefit from future quantum computers. Nature Publishing Group UK 2023-07-15 /pmc/articles/PMC10349807/ /pubmed/37454236 http://dx.doi.org/10.1038/s41598-023-38611-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Waller, Erik H. Keil, Andreas Friederich, Fabian Quantum range-migration-algorithm for synthetic aperture radar applications |
title | Quantum range-migration-algorithm for synthetic aperture radar applications |
title_full | Quantum range-migration-algorithm for synthetic aperture radar applications |
title_fullStr | Quantum range-migration-algorithm for synthetic aperture radar applications |
title_full_unstemmed | Quantum range-migration-algorithm for synthetic aperture radar applications |
title_short | Quantum range-migration-algorithm for synthetic aperture radar applications |
title_sort | quantum range-migration-algorithm for synthetic aperture radar applications |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10349807/ https://www.ncbi.nlm.nih.gov/pubmed/37454236 http://dx.doi.org/10.1038/s41598-023-38611-x |
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