Technologies such as quantum communication, intelligent systems, advanced robotics, and edge analytics are rapidly reshaping how societies operate, making innovation in these areas essential for secure and efficient digital ecosystems. As cyber threats escalate and data volumes surge, the need for resilient, scalable, and trustworthy computational frameworks has never been more urgent. Integrating machine learning, post-quantum cryptography, and real-time processing empowers industries to enhance decision-making, protect critical infrastructure, and support emerging applications from smart cities to precision healthcare. Secure Intelligent and Quantum Systems for Next-Generation Digital Infrastructure provides a comprehensive exploration of these next-generation technologies, offering practical insights into both their design and real-world implementation. It brings together cutting-edge research to guide readers toward building secure and future-ready digital solutions. Covering topics such as blockchain, object recognition, and vulnerability scanning, this book is an excellent resource for graduate and postgraduate students, researchers, academicians, cybersecurity practitioners, engineers, developers, policymakers, industry regulators, healthcare and industrial automation professionals, and more.
