Resillience of Hamiltonian-based Control in Quantum Inertial Navigation systems Under Harsh Space Environment Exposure

Realizing resilient interstellar transit requires autonomous navigation systems capable of operating without external positioning architecture. While quantum inertial navigation systems (INS) offer high-precision, drift-resistant tracking utilizing quantum sensing mechanics, their control loop vulnerabilities under extreme environmental stressors remain unquantified. This paper addresses the critical research gap between ideal Hamiltonian-based quantum control frameworks and their performance degradation under harsh space environment exposure. We develop a high-fidelity digital twin modeling framework to simulate environmental degradation vectors on a quantum INS architecture. System resilience is rigorously analyzed across multi-attribute parameters, including comparative trajectories, control stability margins, and non-linear sensitivity analysis via multi-variate Monte Carlo simulations. The computational results define exact failure thresholds and structural vulnerabilities within the quantum control loop. Ultimately, this work provides a framework for engineering environmental shielding and robust control margins essential for next-generation deep-space guidance systems.