Quantum Noise Management System- QNMS

Quantum Noise Management System (QNMS) is an autonomous cyber-physical system designed to monitor, diagnose, and actively correct performance degradation in semiconductor devices caused by noise, thermal stress, and defect accumulation. The system models a ring oscillator at device level using physics-based equations and continuously tracks key operational metrics such as frequency, temperature, current, and defect density. QNMS integrates an AI decision layer with a robotic control layer using NVIDIA Isaac Sim and Cosmos, where a simulated robot acts as a physical intervention agent. When performance falls below safe thresholds, the AI generates corrective actions that are executed through the robot, forming a closed-loop self-healing control system. All system states, AI decisions, and interventions are logged into a persistent database, enabling traceability, validation, and performance analysis. The project demonstrates how AI, robotics, and physics-based modeling can be combined to create autonomous systems for reliability management in future intelligent hardware.