Seismic traveltime inversion with quantum annealing
Abstract This study demonstrates the application of quantum computing based quantum annealing to seismic traveltime inversion, a critical approach for inverting highly accurate velocity models. The seismic inversion problem is first converted into a Quadratic Unconstrained Binary Optimization proble...
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Nature Portfolio
2025-05-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-01188-8 |
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| author | Hoang Anh Nguyen Ali Tura |
| author_facet | Hoang Anh Nguyen Ali Tura |
| author_sort | Hoang Anh Nguyen |
| collection | DOAJ |
| description | Abstract This study demonstrates the application of quantum computing based quantum annealing to seismic traveltime inversion, a critical approach for inverting highly accurate velocity models. The seismic inversion problem is first converted into a Quadratic Unconstrained Binary Optimization problem, which the quantum annealer is specifically designed to solve. We then solve the problem via quantum annealing method. The inversion is applied on a synthetic velocity model, presenting a carbon storage scenario at depths of 1000–1300 m. As an application example, we also show the capacity of quantum computing to handle complex, noisy data environments. This work highlights the emerging potential of quantum computing in geophysical applications, providing a foundation for future developments in high-precision seismic imaging. |
| format | Article |
| id | doaj-art-a7cfd2ee8e094045a53e76c2eb3dd00d |
| institution | OA Journals |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-a7cfd2ee8e094045a53e76c2eb3dd00d2025-08-20T01:53:22ZengNature PortfolioScientific Reports2045-23222025-05-0115111010.1038/s41598-025-01188-8Seismic traveltime inversion with quantum annealingHoang Anh Nguyen0Ali Tura1Department of Geophysics, Colorado School of MinesDepartment of Geophysics, Colorado School of MinesAbstract This study demonstrates the application of quantum computing based quantum annealing to seismic traveltime inversion, a critical approach for inverting highly accurate velocity models. The seismic inversion problem is first converted into a Quadratic Unconstrained Binary Optimization problem, which the quantum annealer is specifically designed to solve. We then solve the problem via quantum annealing method. The inversion is applied on a synthetic velocity model, presenting a carbon storage scenario at depths of 1000–1300 m. As an application example, we also show the capacity of quantum computing to handle complex, noisy data environments. This work highlights the emerging potential of quantum computing in geophysical applications, providing a foundation for future developments in high-precision seismic imaging.https://doi.org/10.1038/s41598-025-01188-8Quantum annealingSeismic inversionBoreholeCarbon storageTraveltime |
| spellingShingle | Hoang Anh Nguyen Ali Tura Seismic traveltime inversion with quantum annealing Scientific Reports Quantum annealing Seismic inversion Borehole Carbon storage Traveltime |
| title | Seismic traveltime inversion with quantum annealing |
| title_full | Seismic traveltime inversion with quantum annealing |
| title_fullStr | Seismic traveltime inversion with quantum annealing |
| title_full_unstemmed | Seismic traveltime inversion with quantum annealing |
| title_short | Seismic traveltime inversion with quantum annealing |
| title_sort | seismic traveltime inversion with quantum annealing |
| topic | Quantum annealing Seismic inversion Borehole Carbon storage Traveltime |
| url | https://doi.org/10.1038/s41598-025-01188-8 |
| work_keys_str_mv | AT hoanganhnguyen seismictraveltimeinversionwithquantumannealing AT alitura seismictraveltimeinversionwithquantumannealing |