Quantum AI Systems (QAIS), Volume I: Foundations of Quantum AI Systems

Product Description

Foundations of Quantum AI Systems is the first volume in the five-volume Quantum AI Systems series, establishing the physical, mathematical, and operational foundations underlying scalable Quantum AI Systems (QAIS).This volume introduces the core principles of quantum information science, including qubits, superposition, entanglement, quantum gates, measurement systems, coherence, decoherence, and noise-aware architectures. The text develops a systems-oriented framework connecting foundational quantum mechanics to emerging intelligent quantum infrastructures.Topics include quantum states and probabilistic representation, superposition and entanglement structures, quantum gates and circuit architectures, measurement and observability, noise and decoherence, foundational QAIS architectural principles, hybrid quantum–classical system integration, and introductions to QALIS and CRQC–LLM frameworks.Designed for researchers, engineers, graduate students, technical professionals, and institutional programs, this volume provides a structured introduction to Quantum AI Systems through a systems-engineering perspective emphasizing scalability, resilience, and operational integrity.