MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202641025643 A) filed by Dayananda Sagar College Of Engineering, Bangalore, Karnataka, on March 4, for 'indian rainfall prediction using variational quantum circuits.'
Inventor(s) include Dr. Ramya R S; Dr. Samyama Gunjal G H; Dr. Pavithra G; Dr. Swapnil S. Ninawe; Amith Kumar A; Abhinava P; Akash Naik; and Akash L.
The application for the patent was published on March 13, under issue no. 11/2026.
According to the abstract released by the Intellectual Property India: "The invention presents a hybrid quantum-classical framework for Indian rainfall prediction using real-world meteorological data and variational quantum circuits. Large-scale weather observations collected from multiple regions across India are processed using classical preprocessing and dimensionality reduction techniques, followed by quantum machine learning-based classification. Principal Component Analysis is employed to compress high-dimensional meteorological features into a quantum-compatible representation, which is then encoded into a multi-qubit variational quantum classifier. The system performs rainfall intensity classification into low, medium, and high categories while enabling comparative evaluation against classical machine learning models. The framework establishes realistic performance baselines for quantum machine learning in meteorology and supports future scalability as quantum hardware advances."
Disclaimer: Curated by HT Syndication.
