Intellectual Property India Publishes Patent Application for A Hybrid Quantum-Classical Clustering System Using Entropy-Weighted Quantum Encoding And Quantum Optimization

MUMBAI, India, Sept. 22 -- Intellectual Property India has published a patent application (202641110405 A) filed by Vellore Institute Of Technology on September 15, 2026, for A Hybrid Quantum-Classical Clustering System Using Entropy-Weighted Quantum Encoding And Quantum Optimization.

Inventors include M. Parimala; and Naresh L.

The application for the patent was published on September 18, 2026, under issue no. 38/2026.

Abstract: The present invention relates to a hybrid quantum-classical clustering system and method for unsupervised data clustering. The system comprises a data preprocessing module configured to normalize multidimensional feature vectors, an entropy weighting module configured to determine entropy-derived feature weights...