MUMBAI, India, Oct. 12 -- Intellectual Property India has published a patent application (202641119592 A) filed by Madala Sahasra Chowdary; Dr. Adilakshmi Gorantla; and Madala Indra Kiran on October 06, 2026, for Ai-Driven Digital Twin Based Autonomous Helium Recovery And Adaptive Cooling Optimization System For Quantum Dilution Refrigerators.
Inventors include Madala Sahasra Chowdary; Dr. Adilakshmi Gorantla; and Madala Indra Kiran.
The application for the patent was published on October 09, 2026, under issue no. 41/2026.
Abstract: Abstract (150 words) The present invention discloses an AI-Driven Digital Twin Based Autonomous Helium Recovery and Adaptive Cooling Optimization System for Quantum Dilution Refrigerators. The system integrates IoT-based cryogenic sensors, artificial intelligence algorithms, digital twin technology, predictive maintenance models, helium recovery units, gas purification modules, and adaptive cooling controllers to improve the efficiency and sustainability of quantum computing infrastructure. Real-time operational parameters including pressure, temperature, flow rate, vacuum conditions, and helium concentration are continuously monitored and analyzed using machine learning models to predict leakage and equipment failures before occurrence. A Digital Twin replicates the physical dilution refrigerator and enables simulation, optimization, forecasting, and autonomous decision-making. Escaped helium is captured, purified, compressed, stored, and recirculated into the cryogenic system. Adaptive cooling algorithms dynamically regulate helium circulation according to thermal conditions and quantum workload requirements. The invention significantly reduces helium wastage, lowers operational costs, enhances cooling efficiency, improves system reliability, and supports sustainable quantum computing ecosystems.
Disclaimer: Curated by HT Syndication.
