MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202641123026 A) filed by Mr. Rajath S M; Dr. Jinka Pradeep; Mrs. Anie Josephin E; Dr. Jami Venkata Suman; Mr. S. Karal Marx; Ms. Aditee Mattoo; Dr. Megha Gupta; and Dr. D Mohan Reddy on October 14, 2026, for Quantum-Assisted Machine Learning System And Method For Pattern Recognition.
Inventors include Mr. Rajath S M; Dr. Jinka Pradeep; Mrs. Anie Josephin E; Dr. Jami Venkata Suman; Mr. S. Karal Marx; Ms. Aditee Mattoo; Dr. Megha Gupta; and Dr. D Mohan Reddy.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: A quantum-assisted machine learning system and method for pattern recognition are disclosed. The system receives input samples and preprocesses the samples to generate a feature representation. At least a portion of the feature representation is encoded into a quantum state and processed by a parameterized quantum circuit. A measurement module obtains measurement-derived values, which are evaluated by a classical optimization controller to update circuit parameters or other trainable parameters according to a selected learning objective. The processing may be repeated until a stopping criterion is satisfied, after which an output module generates a class label, similarity score, confidence indication, anomaly score, or cluster assignment. A resource manager may adapt circuit configuration, feature count, or measurement settings according to available quantum resources and execution constraints. The architecture supports supervised, semi-supervised, and unsupervised pattern recognition in hybrid classical-quantum computing environments. Accompanied Drawing [FIGS. 1-2].
Disclaimer: Curated by HT Syndication.
