Quantum AI Systems (QAIS): Volume III: Quantum Learning and System Architecture

By: Wilson, Joe

Quantum AI Systems (QAIS) is a five-volume scholarly monograph series establishing QAIS as a discipline of governed, propagation-constrained architectures for quantum information science and artificial intelligence.

Volume III, Quantum Learning and System Architectures, develops adaptive quantum learning systems, hybrid computational architectures, and scalable orchestration frameworks for intelligent quantum-enabled infrastructures. The volume advances from representation and reasoning toward trainable quantum systems capable of operational learning, optimization, coordination, and resilient architectural integration.

QuSciTech Press publishes this volume under the QALIS publication brand as part of the QALIS Publication Series. The five-volume Quantum AI Systems series offers a modular study path through the material presented in the companion 13-chapter compendium, Quantum AI Systems: Theory, Architectures, and Applications: Featuring CRQC-LLM and QALIS. Volume III covers Chapters 6-8.

Topics include variational quantum learning, hybrid quantum-classical workflows, trainable quantum circuit architectures, adaptive optimization systems, parameterized quantum models, distributed QAIS orchestration, propagation-aware learning dynamics, and scalable computational infrastructures for deployable quantum AI environments.

This volume examines how learning, architectural coordination, and propagation-sensitive optimization interact within advanced QAIS ecosystems. It emphasizes resilience, stability-aware computation, hybrid integration strategies, and operational scalability across evolving quantum AI system architectures.

Designed for researchers, engineers, graduate students, technical professionals, and institutional programs, this volume provides a systems-oriented framework for building scalable quantum learning infrastructures and adaptive QAIS architectures through a disciplined engineering perspective that integrates quantum computation, intelligent systems, and governed information propagation.

• Format: Hardcover
• Language: English
• ISBN: B0H51YPZ1X
• ISBN13: 9798994836958
• Release Date: June 2026
• Publisher: Quantum Reality
• Length: 308 Pages
• Weight: 1.66 lbs.
• Dimensions: 0.8" x 7.0" x 10.0"