Intellectual Property India Publishes Patent Application for Quantum-Inspired Stochastic Optimization System And Method For Large-Scale Queueing Networks

MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202641091271 A) filed by Dr. G. Lavanya; Mrs. Radha S; Mr. J. T. Richard Christ; Dr. Rajan Singh; Mrs. K. Vimhala; and Miss. Harshini K on July 27, 2026, for Quantum-Inspired Stochastic Optimization System And Method For Large-Scale Queueing Networks.

Inventors include Dr. G. Lavanya; Mrs. Radha S; Mr. J. T. Richard Christ; Dr. Rajan Singh; Mrs. K. Vimhala; and Miss. Harshini K.

The application for the patent was published on July 31, 2026, under issue no. 31/2026.

Abstract: The present invention relates to a quantum-inspired stochastic optimization system and method for optimizing large-scale queueing networks using quantum-inspired probabilistic computation implemented on classical computing hardware. The invention provides an adaptive framework that continuously monitors operational parameters, including queue length, arrival rate, service rate, waiting time, throughput, congestion level, and resource utilization, to generate multidimensional queue state representations. A quantum-inspired state generation module creates multiple probabilistic candidate scheduling solutions that are iteratively optimized through stochastic state evolution and interference-based probability updates. An optimization evaluation module assesses candidate solutions based on predefined performance metrics, and a probabilistic decision module selects an optimized scheduling policy for dynamic resource allocation, task scheduling, and routing. A feedback learning module continuously updates optimization parameters using real-time operational data, enabling the system to adapt to changing workloads and network conditions. The proposed framework reduces waiting time, minimizes congestion, improves throughput, enhances resource utilization, and provides scalable, real-time optimization without requiring physical quantum computing hardware. The invention is applicable to cloud computing, telecommunication networks, manufacturing systems, transportation, healthcare, logistics, Internet of Things (IoT) infrastructures, smart grids, and other large-scale distributed service environments requiring efficient queue management and adaptive stochastic optimization.

Disclaimer: Curated by HT Syndication.