Articles | Volume 31, issue 2
https://doi.org/10.5194/npg-31-237-2024
https://doi.org/10.5194/npg-31-237-2024
NPG Letters
 | 
07 Jun 2024
NPG Letters |  | 07 Jun 2024

Quantum data assimilation: a new approach to solving data assimilation on quantum annealers

Shunji Kotsuki, Fumitoshi Kawasaki, and Masanao Ohashi

Viewed

Total article views: 3,481 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,683 723 75 3,481 66 88
  • HTML: 2,683
  • PDF: 723
  • XML: 75
  • Total: 3,481
  • BibTeX: 66
  • EndNote: 88
Views and downloads (calculated since 08 Aug 2023)
Cumulative views and downloads (calculated since 08 Aug 2023)

Viewed (geographical distribution)

Total article views: 3,481 (including HTML, PDF, and XML) Thereof 3,162 with geography defined and 319 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 Jul 2025
Download
Short summary
In Earth science, data assimilation plays an important role in integrating real-world observations with numerical simulations for improving subsequent predictions. To overcome the time-consuming computations of conventional data assimilation methods, this paper proposes using quantum annealing machines. Using the D-Wave quantum annealer, the proposed method found solutions with comparable accuracy to conventional approaches and significantly reduced computational time.
Share