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Quantum AI Systems (QAIS) de Joe Wilson

Quantum AI Systems (QAIS): Quantum AI Systems (QAIS), cartea 1

Autor Joe Wilson
en Limba Engleză Hardback – 30 iun 2026
Quantum AI Systems (QAIS), Volume I: Foundations of Quantum AI Systems establishes the foundational principles of quantum information science and the integration of artificial intelligence within a rigorous system-level framework for deploying and governing quantum-enabled architectures. Designed for students, researchers, professionals, and technically informed readers, the work develops Quantum AI Systems (QAIS) as a systems discipline spanning representation, learning, communication, governance, and deployment. Volume I establishes the foundational principles of quantum information science, including quantum states, qubits, gates, circuits, measurement, coherence, noise, and operational system behavior that support the architectures developed throughout the series.
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Specificații

ISBN-13: 9798994836910
Pagini: 384
Dimensiuni: 183 x 260 x 25 mm
Greutate: 0.92 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.