Hybrid variational quantum-classical data assimilation for numerical weather prediction using Lorenz system benchmarks.

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Title: Hybrid variational quantum-classical data assimilation for numerical weather prediction using Lorenz system benchmarks.
Authors: Kumar TP; Department of CSE, Methodist College of Engineering and Technology, Abids, Hyderabad, Telangana, India., Raghavender KV; Department of CSE, G Narayanamma Institute of Technology and Science (for Women), Hyderabad, Telangana, India., Veeranna T; Department of CSE (AI&ML), Sai Spurthi Institute of Technology, B. Gangaram, Sathupally, Khammam, Telangana, India., Srikanth GK; Department of CSE, AVN Institute of Engineering and Technology, Ranga Reddy District, Ibrahimpatnam (M), Telangana, 501510, India., Kumar C; Electronics and Communication Engineering, Rathinam Technical Campus, Coimbatore, 641021, Tamil Nadu, India.; Electrical and Electronics Engineering, Rathinam Global Deemed to be University, Coimbatore, 641021, Tamil Nadu, India., Routray A; Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India. abhinandan.routray@manipal.edu.
Source: Scientific reports [Sci Rep] 2026 Jul 12. Date of Electronic Publication: 2026 Jul 12.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:2045-2322
DOI:10.1038/s41598-026-60719-z