MUMBAI, India, Jan. 23 -- Intellectual Property India has published a patent application (202511127221 A) filed by Sneha Mishra; and Dr. Dayashankar Singh, Gorakhpur, Uttar Pradesh, on Dec. 15, 2025, for 'enhancing epileptic condition prediction by combining machine learning and quantum computing techniques.'

Inventor(s) include Sneha Mishra; and Dr. Dayashankar Singh.

The application for the patent was published on Jan. 23, under issue no. 04/2026.

According to the abstract released by the Intellectual Property India: "The present invention relates to a quantum-inspired convolutional neural network system for automated epilepsy detection that combines classical machine learning feature extraction with quantum computing classification techniques to analyze electroencephalogram signals. The system comprises an EEG data acquisition module preprocessing layer quantum computation layer implementing Schrodinger equation-based quantum neural network classical neural network layer and output classification layer. The preprocessing layer performs artifact removal and extracts features including probability density functions of signal amplitudes. The quantum layer encodes features into quantum states processes them through quantum gates utilizing superposition and entanglement and implements weight adaptation based on quantum mechanical principles. The system achieves classification accuracy exceeding 92 percent across multiple quantum classifier implementations including quantum support vector machines quantum random forests and quantum artificial neural networks. Computational efficiency is significantly improved enabling real-time processing with latency below 20 milliseconds per epoch suitable for continuous monitoring and immediate seizure alerting in ambulatory settings. The invention overcomes limitations of conventional approaches providing robust automated epilepsy detection with superior accuracy reduced false positive rates and practical deployment capability for clinical diagnostic applications."

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