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Description
This book guides readers from the foundations of quantum mechanics through advanced quantum algorithms (such as Shor’s and Grover’s) and state-of-the-art machine learning methods. By illustrating how these concepts apply to everyday engineering challenges, ranging from complex optimization and cryptography to high-fidelity simulations, the authors equip readers with the tools they need to develop and deploy quantum-based solutions. Incorporating practical case studies, industry-standard platforms, and tested pedagogical approaches, this resource speaks to both academic researchers and industry professionals, enabling them to seamlessly integrate quantum technologies into their projects and workflow
Table of Contents
Introduction to Quantum Computing.- Fundamentals of Quantum Mechanics.- Quantum Algorithms.- Quantum Computing Hardware.- Introduction to Quantum AI.- Quantum Data Structures and Encoding.- Quantum Neural Networks.- Quantum Optimization Techniques.- Quantum Communication and Cryptography.- Tools and Platforms for Quantum Computing.- Industry Applications of Quantum Computing.- Future Trends in Quantum AI and Engineering.
