MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202641096302 A) filed by Dr. Raja Rajeswari Sethuraman; Dr. D. Gandhimathi; Shanthini K S; T. Mutharasi; Jenifer Arrchana S; and Pradeep Kumar S on August 10, 2026, for Quantum Machine Learning Model For High-Speed Data Analytics.
Inventors include Dr. Raja Rajeswari Sethuraman; Dr. D. Gandhimathi; Shanthini K S; T. Mutharasi; Jenifer Arrchana S; and Pradeep Kumar S.
The application for the patent was published on August 14, 2026, under issue no. 33/2026.
Abstract: The Quantum Machine Learning Model for High-Speed Data Analytics introduces a novel hybrid system that combines quantum superposition and entanglement with advanced machine learning techniques to achieve unprecedented speeds in data processing and analysis. By encoding high-dimensional data into quantum states and utilizing variational quantum circuits for optimization, the model significantly reduces computational time for tasks such as clustering, classification, and regression on voluminous datasets. The system incorporates a quantum feature map that maps classical data features into a higher-dimensional Hilbert space, followed by a quantum neural network layer trained in tandem with classical optimizers. This results in superior performance metrics, including faster convergence rates and higher predictive accuracy, while maintaining scalability for edge and cloud deployments. The invention provides a complete pipeline from data ingestion to actionable analytics, demonstrating substantial improvements over traditional methods in latency and resource utilization.
Disclaimer: Curated by HT Syndication.
