Quantum Neural Networks and Intelligent Computing BY Mr. P. Bhagya Raju,Dr. Srinivas Kumar Palvadi,Ms. Burre Ramya
Abstract
The rapid convergence of quantum computing, artificial intelligence, and neural network architectures has opened an entirely new frontier in computational intelligence. As classical computing approaches approach their physical and algorithmic limits, Quantum Neural Networks (QNNs) have emerged as a promising paradigm capable of addressing complex, large-scale, and data-intensive problems with unprecedented efficiency. This book, Quantum Neural Networks and Intelligent Computing, is designed to provide a comprehensive, interdisciplinary perspective on this evolving domain. This multi-author volume brings together contributions from academicians, researchers, and industry professionals who possess deep expertise in quantum mechanics, machine learning, intelligent systems, and emerging computational models. The chapters are carefully curated to bridge the gap between theoretical foundations and real-world applications, making the book valuable for students, researchers, educators, and professionals alike. The book begins with foundational concepts of quantum computing and neural networks, gradually progressing toward advanced topics such as quantum learning models, hybrid quantum-classical algorithms, variational quantum circuits, quantum optimization, and intelligent decision-making systems. Special emphasis is placed on practical implementations, algorithmic frameworks, and future-ready applications, including quantum AI, cybersecurity, optimization, pattern recognition, and intelligent automation. A key strength of this book lies in its multi-author perspective, which allows diverse viewpoints, innovative methodologies, and contemporary research insights to be presented in a cohesive manner. Each chapter has been peer-reviewed and structured to ensure clarity, technical depth, and academic rigor while maintaining accessibility for readers from varied backgrounds. This book is intended to serve as: A textbook for undergraduate and postgraduate students, A reference guide for researchers and scholars, A resource manual for professionals working in AI, quantum computing, and intelligent systems. We sincerely hope that this book will inspire readers to explore the immense potential of quantum-enabled intelligence and contribute meaningfully to the advancement of next-generation computing technologies. The editors express their heartfelt gratitude to all contributing authors for their valuable insights, dedication, and scholarly efforts. We also extend our appreciation to the reviewers and publishers for their support in bringing this work to fruition. Finally, we thank the readers for their interest and encourage them to explore, experiment, and innovate in this exciting interdisciplinary field.
Fields of Study & Subjects
Quantum Computing Algorithms and Architecture
Artificial Intelligence Applications
Neural Networks and Applications
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 25 January 2026
- Language
- EN
- Document type
- Book