Quantum AI Systems: Theory, Architecture, and Applications
Publication dates: Kindle (June 1, 2026) · Paperback · Hardcover

About the Author

Dr. Joe Wilson is a systems engineer and architect from the commercial aviation industry, where he worked on safety- and mission-critical platforms requiring rigorous correctness, traceability, and disciplined change control. He earned his Ph.D. in 2013 from Capella University (Minnesota), where his doctoral research examined the convergence of cloud computing security, infrastructure resilience, and autonomic threat detection.

Dr. Wilson is a Professor in the School of Computational Science & Engineering at Liberty University, where he teaches in the graduate cybersecurity program. His teaching and research adopt a systems-oriented perspective grounded in platform integrity, operational governance, and real-world deployment constraints.

His current research interests focuses on the intersection of artificial intelligence, quantum information science, and intelligent system architectures, with sustained emphasis on the convergence of computation, ethics, and governance in complex technological systems. His work explores not only how advanced systems function, but how they are validated, governed, and ethically assured once deployed.

Operating at the Principal / Architect level, Dr. Wilson specializes in System Integrity Assurance (SIA), production-safe infrastructure transformation, and platform governance. He leads full SIA lifecycles across PROD and DEV environments, establishes clear runtime-versus-repository authority boundaries, executes snapshot-to-baseline workflows, and formally closes operations with documentation and versioned baselines. His work emphasizes zero regression, reversibility, and long-term maintainability.

He is the creator of the CRQC–LLM™ / QALIS™ framework for Quantum AI Systems (QAIS), a design and stress-testing methodology that integrates quantum theory, artificial intelligence, and systems engineering to support resilience, interpretability, and ethical assurance in next-generation intelligent systems.