MUMBAI, India, Sept. 14 -- Intellectual Property India has published a patent application (202641107055 A) filed by Vidya Jyothi Institute Of Technology on September 03, 2026, for Quantum-Powered Weather Forecasting System Using An Enhanced Quantum Approximate Optimization Algorithm (qaoa).
Inventors include Mr. K. Chiranjeevi; Dr. Rrs Ravi Kumar; Mr. K. Mallikarjun Rao; Mr. Mohd Sirajuddin; Mrs. K. Shireesha; Mr. G. Satya Vara Prasad; Mrs. Anees Fatima; Mr. M. Rama Mohan; Mrs. Katuri Lalitha; Anirudh Singh; Payyavula Dhruv Raj; Kandala Vaishnavi; and Mamidala Sai Prashanthi Rane.
The application for the patent was published on September 11, 2026, under issue no. 37/2026.
Abstract: ABSTRACT The present invention relates to a quantum-powered weather forecasting system (100) comprising a meteorological data acquisition module (102) that acquires meteorological data, and a data encoding module (104) that encodes the meteorological data into a quantum state representation. A problem formulation module (106) constructs a cost Hamiltonian representative of a weather prediction optimization problem, and an enhanced quantum approximate optimization processing engine (108), coupled to a quantum processing unit (112), executes a parameterized quantum circuit comprising alternating cost and mixer unitary operators, employing adaptively initialized and updated variational parameters. A classical optimizer module (110) iteratively updates the variational parameters based on a measured expectation value of the cost Hamiltonian, and a forecast generation module (114) generates a weather forecast output based on an optimized quantum state, for display via an output interface (116), thereby enabling accelerated convergence and improved accuracy of quantum-based weather forecasting. The figure associated with abstract is Fig. 1.
Disclaimer: Curated by HT Syndication.
