MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641077042 A) filed by Chaitanya Bharathi Instite Of Technology on June 22, 2026, for Federated Quantum Search Optimization Framework For Privacy- Preserving Distributed Systems.
Inventors include Srinivas Daripelli; Ramasani Ravinder Reddy; Dr. Yramadevi; M Venkata Krishna Reddy; and Y C A Padmanabha Reddy.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: ABSTRACT The present invention relates to a federated quantum search optimization framework for privacy-preserving distributed systems. The framework integrates federated learning, quantum-inspired search algorithms, privacy-preserving security mechanisms, blockchain-based verification, edge computing, and cloud computing to enable secure collaborative optimization without requiring centralized data sharing. Distributed participants locally train optimization models while exchanging encrypted model updates through secure communication channels. A quantum-enhanced optimization engine efficiently explores large solution spaces to identify optimal resource allocation, workload scheduling, and decision-making strategies. Privacy is preserved using differential privacy, homomorphic encryption, secure multiparty computation, and secure aggregation techniques. Blockchain mechanisms ensure trust, auditability, and integrity of optimization transactions. Edge devices support low-latency local optimization, while cloud infrastructure performs model aggregation, analytics, and optimization management. The framework improves optimization accuracy, reduces computational complexity and communication overhead, enhances scalability, and enables intelligent resource management across distributed environments.
Disclaimer: Curated by HT Syndication.
