MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202641085447 A) filed by Dr. Hari Leela Vemula; Dr. Mantha Srikanth; Dr. Amarnath Bhimanatham; Dr. B. Sasidhar; Dr. G. Balreddy; Dr. P. V. Janardhana Reddy; Mrs. Pavani Aedutla Bala Lakshmi; and Dr. Galla Swapna on July 13, 2026, for Quantum Machine Learning Model For High-Accuracy Financial Market Predictions.
Inventors include Dr. Hari Leela Vemula; Dr. Mantha Srikanth; Dr. Amarnath Bhimanatham; Dr. B. Sasidhar; Dr. G. Balreddy; Dr. P. V. Janardhana Reddy; Mrs. Pavani Aedutla Bala Lakshmi; and Dr. Galla Swapna.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: A computer-implemented system and method for high-accuracy financial market prediction using a hybrid quantum-classical processing framework are disclosed. The system acquires structured and unstructured financial data from multiple heterogeneous sources and performs data validation, preprocessing, normalization, feature extraction, and adaptive quantum feature encoding to generate optimized quantum state representations. A quantum machine learning engine comprising parameterized variational quantum circuits processes the encoded data to capture complex nonlinear financial relationships, while a classical optimization engine iteratively updates circuit parameters to improve prediction accuracy. A hybrid prediction controller integrates quantum and classical learning outputs, and a market regime detection module dynamically adjusts prediction strategies according to changing market conditions. The system further includes prediction confidence estimation, continuous model learning, and secure output generation to provide reliable market forecasts, investment risk assessments, portfolio recommendations, and scalable decision support for diverse financial applications.
Disclaimer: Curated by HT Syndication.
