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AI Meets Quantum Computing: Foundations, Applications, and Future Directions: A Technical Guide to Intelligent Algorithms in Quantum Systems with Research Insights and Models
We are standing on the threshold of a new technological revolution — a revolution where Artificial Intelligence and Quantum Computing are not just co-existing but intertwining to create transformative possibilities that were once relegated to the realm of science fiction.
This book, AI Meets Quantum Foundations, Applications, and Future Directions, is born out of a compelling
To demystify the convergence of two of the most powerful forces shaping our future,
To equip researchers, professionals, and students with a clear, accessible yet rigorous understanding of this frontier,
And to ignite a vision for the breakthroughs Quantum AI could unlock across industries and society.
In today's digital world, Artificial Intelligence (AI) powers everything from search engines to autonomous vehicles. Quantum Computing, on the other hand, offers the promise of solving problems that even the most powerful classical computers would take millions of years to crack. But together, AI and Quantum Computing have the potential to redefine the meaning of intelligence, computation, and possibility itself.
At its core, this book is designed to bridge two communities —
The AI community, already familiar with data-driven learning and model optimization, and
The quantum computing community, immersed in the strange and powerful rules of quantum mechanics —
so that both can collaboratively explore the new realm of Quantum Artificial Intelligence (Quantum AI).
What This Book Offers🔹 A comprehensive foundation in both AI and Quantum Computing, crafted to be accessible yet technically precise.
🔹 A detailed exploration of Quantum Machine Learning (QML), Quantum Neural Networks (QNNs), Quantum Support Vector Machines (QSVMs), and other state-of-the-art models.
🔹 Real-world case studies showcasing early successes in finance, healthcare, logistics, cybersecurity, and drug discovery.
🔹 Visual block diagrams, system architectures, quantum circuit illustrations, and performance evaluation charts to enhance technical clarity.
🔹 A strategic look at future directions, technical hurdles, ethical considerations, and economic implications of Quantum AI.
🔹 Insights grounded in current research papers, industry reports, and projections for the 2030s and beyond.
Whether you are a student aiming to specialize, a researcher exploring interdisciplinary innovation, a corporate leader planning tech strategies, or a curious mind intrigued by the quantum future, this book is your structured, guided, and reliable companion.
The Author's PerspectiveThis book is not merely an academic exercise — it is a passionate endeavor led by Prof. Dr.
This book, AI Meets Quantum Foundations, Applications, and Future Directions, is born out of a compelling
To demystify the convergence of two of the most powerful forces shaping our future,
To equip researchers, professionals, and students with a clear, accessible yet rigorous understanding of this frontier,
And to ignite a vision for the breakthroughs Quantum AI could unlock across industries and society.
In today's digital world, Artificial Intelligence (AI) powers everything from search engines to autonomous vehicles. Quantum Computing, on the other hand, offers the promise of solving problems that even the most powerful classical computers would take millions of years to crack. But together, AI and Quantum Computing have the potential to redefine the meaning of intelligence, computation, and possibility itself.
At its core, this book is designed to bridge two communities —
The AI community, already familiar with data-driven learning and model optimization, and
The quantum computing community, immersed in the strange and powerful rules of quantum mechanics —
so that both can collaboratively explore the new realm of Quantum Artificial Intelligence (Quantum AI).
What This Book Offers🔹 A comprehensive foundation in both AI and Quantum Computing, crafted to be accessible yet technically precise.
🔹 A detailed exploration of Quantum Machine Learning (QML), Quantum Neural Networks (QNNs), Quantum Support Vector Machines (QSVMs), and other state-of-the-art models.
🔹 Real-world case studies showcasing early successes in finance, healthcare, logistics, cybersecurity, and drug discovery.
🔹 Visual block diagrams, system architectures, quantum circuit illustrations, and performance evaluation charts to enhance technical clarity.
🔹 A strategic look at future directions, technical hurdles, ethical considerations, and economic implications of Quantum AI.
🔹 Insights grounded in current research papers, industry reports, and projections for the 2030s and beyond.
Whether you are a student aiming to specialize, a researcher exploring interdisciplinary innovation, a corporate leader planning tech strategies, or a curious mind intrigued by the quantum future, this book is your structured, guided, and reliable companion.
The Author's PerspectiveThis book is not merely an academic exercise — it is a passionate endeavor led by Prof. Dr.
173 pages, Kindle Edition
Published April 26, 2025
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