MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641069267 A) filed by Sr University on June 02, 2026, for An Adaptive Hybrid Classical-Quantum Deep Learning System For Early Detection Of Neurodegenerative Diseases.
Inventors include Mr. Challa Chandrasekhar Reddy; Dr. Raveendrababu Vempati; and Dr. B. Venkata Ramana Reddy.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: ABSTRACT Disclosed herein is an adaptive hybrid classical–quantum deep learning system (100) for early detection of neurodegenerative diseases, the system (100) comprises a multimodal data acquisition module (102) configured to receive and preprocess multimodal medical data. The system also includes a classical feature extraction module (104) configured to generate modality-specific feature representations. A multimodal attention fusion module (106) configured to perform cross- modal attention-based fusion of the modality-specific feature representations. The system also includes an adaptive quantum encoding module (108) configured to dynamically select an encoding scheme. A parameterized quantum circuit module (110) configured to process the quantum states. The system also includes a noise- resilient quantum learning module (112) configured to perform noise-aware training, error mitigation, and hardware-aware optimization. The system also includes a hybrid classical–quantum learning module (114) configured to receive measurement outputs. The system also includes a disease prediction module (116) configured to generate a diagnostic output.
Disclaimer: Curated by HT Syndication.
