MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641064554 A) filed by Vellore Institute Of Technology, Vellore, Tamil Nadu, on May 21, for 'system and method for quantum kernel-based acoustic classification using concentration metrics.'
Inventor(s) include Richard Caleb; and Jagalingam Pushparaj.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "System and Method for Quantum Kernel-Based Acoustic Classification Using Concentration Metrics The present invention provides a system and method for classifying acoustic data using quantum kernel-based processing with concentration-aware analysis. Acoustic input data is processed to generate feature vectors, which are encoded into quantum states using a quantum encoding mechanism. Similarity values between the quantum states are computed using a quantum kernel and organized into a kernel matrix representing relationships among data samples. The invention introduces a concentration quantification stage that evaluates distributional characteristics of the kernel matrix, including overlap, separation, and variation of similarity values. These concentration characteristics are utilized to guide classification of the acoustic data through a classification module. By integrating quantum processing with structured concentration analysis, the invention enables reliable evaluation of kernel behavior and supports effective classification under varying data conditions."
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