Quantum Computing: Potential Application in Cybersecurity and Environmental Effect.

Quantum computing, built on the principles of superposition and entanglement, poses both transformative opportunities and significant cyber-attack. Our research focuses on the simulation of quantum environmental effects on system stability. The process was implemented and tested in Python using Google Collab with Qiskit and QuTiP libraries. We explored how environmental factors like thermal noise, electromagnetic radiation, and circuit depth impact quantum system fidelity through Lindblad-based master equation simulations using Ising Hamiltonians. Our results demonstrated the fidelity simulations which confirmed that increasing environmental noise and quantum circuit complexity leads to faster decoherence. These findings support the dual necessity of robust cybersecurity design and environmental resilience for future quantum applications. The application is in security systems, autonomous vehicles, medical diagnosis. Future work will refining environmental models with quantum circuits for cyber-attack classification and environmental data classification in quantum systems. Work supported by NSF grants, 2131080, 2305470, 2242812, 2200457, 2234920, awarded to Dr. Negash Begashaw and we also acknowledge funding from the Office of Naval Research Federal Contract No. N00014-24-C-1309, Resilient Autonomous Systems.