MUMBAI, India, Aug. 24 -- Intellectual Property India has published a patent application (202641097872 A) filed by Srm University- Ap on August 13, 2026, for System And Method For Quantum-Enhanced Supply Chain Risk Assessment Using Hybrid Feature Selection.
Inventors include Boggavarapu Rama Krishna; Annavaram Adithya Krishna; Mohammad Khasim; Suresh Aala; and Sunil Chinnadurai.
The application for the patent was published on August 21, 2026, under issue no. 34/2026.
Abstract: A supply chain risk assessment system (100) for classifying risk levels of supply chain operations comprises a data input module (102) configured to receive supply chain records, a preprocessing module (104) coupled to the data input module (102) and configured to perform label encoding and removal of data-leaking features, a feature selection module (106) coupled to the preprocessing module (104) and configured to output a ranked set of selected operational features using a three-stage hybrid feature selection pipeline comprising an Analysis of Variance stage, a Recursive Feature Elimination stage, and an Autoencoder-based reconstruction stage, a quantum processing module (108) coupled to the feature selection module (106) comprising a variational quantum circuit configured to receive the selected operational features and output a risk classification, and an output module (110) coupled to the quantum processing module (108) and configured to provide the risk classification as one of a plurality of risk levels.
Disclaimer: Curated by HT Syndication.
