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Quantum AI Systems (QAIS) de Joe Wilson

Quantum AI Systems (QAIS): Quantum AI Systems (QAIS), cartea 4

Autor Joe Wilson
en Limba Engleză Paperback – 15 iun 2026
Quantum AI Systems: Theory, Architecture, and Applications presents a rigorous system-level framework for integrating quantum information science and artificial intelligence into deployable, governable architectures. Volume IV focuses on quantum information and communication systems within Quantum AI Systems (QAIS). Covering Chapters 9-11, the volume examines quantum communication, entanglement, teleportation, distributed coordination, networking architectures, quantum memory, and information exchange mechanisms that enable intelligent systems to operate across distributed environments. Designed for students, researchers, professionals, and technically informed readers, the text emphasizes architectural integration, resilience, verification, governance, and the practical constraints associated with large-scale quantum-enabled communication infrastructures.
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Specificații

ISBN-13: 9798994836965
Pagini: 326
Dimensiuni: 178 x 254 x 18 mm
Greutate: 0.62 kg
Editura: Quantum Reality
Colecția Quantum AI Systems (QAIS)
Seria Quantum AI Systems (QAIS)

Notă biografică

Dr. Joe Wilson is a systems engineer, professor, researcher, and architect whose work focuses on quantum-AI integration, resilient distributed architectures, computational governance, and system assurance. He earned his Ph.D. from Capella University in 2013, where his doctoral research examined cloud computing security, infrastructure resilience, and autonomic threat detection.Drawing on experience from the commercial aviation industry and graduate-level cybersecurity and computational science education, Dr. Wilson emphasizes system integrity, verification, governance, and operational resilience across complex technology platforms. His current research explores the convergence of artificial intelligence, quantum information science, and intelligent system architectures, with particular emphasis on validation, ethical assurance, and long-term governance of advanced computational systems.He is the creator of the CRQC-LLM and QALIS frameworks for Quantum AI Systems (QAIS), integrating quantum theory, artificial intelligence, and systems engineering into a unified methodology for evaluating resilience, interpretability, governance, and deployment readiness in next-generation intelligent systems.