Overview

In a world fueled by information and technology, we stand on the precipice of a monumental challenge – the limitations of classical computing. As the complexity of problems surges, from climate modeling to financial risk assessment, our conventional computational capabilities fall short. Confronted by the exponential growth of data and the intricacies of real-world dilemmas, we find ourselves grappling with barriers that hinder progress. These limitations cast shadows over our aspirations to revolutionize industries and unravel the mysteries of our universe. It is a chasm that can only be bridged by transcending the boundaries of classical computing. Principles and Applications of Quantum Computing, edited by the accomplished Alex Khang PH from the Department of AI and Data Science, is a book which stands as a definitive solution to the quantum conundrum. Diving into the multidisciplinary realms of computer science, physics, and mathematics, it unveils the untapped potential of quantum computing – a realm 158 million times faster than even the most sophisticated supercomputers. With quantum mechanics as its bedrock, this technology heralds a new era of computation, igniting hope for the seemingly insurmountable problems that plague our world. Principles and Applications of Quantum Computing not only introduces the principles and concepts that underpin quantum computing but also illuminate its myriad applications across diverse domains. From artificial intelligence and cybersecurity to financial modeling, drug development, and beyond, this book stitches together a tapestry of insights from quantum computing scientists, researchers, engineers, and scholars worldwide. By embracing this compendium, you are not merely gaining knowledge – you are becoming a pioneer in the quantum revolution. Contribute to this intellectual movement and be at the forefront of innovations that will redefine the limits of what is possible in the digital age.

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Alex Khang is Professor of Information Technology, VUST, SEFIX, EDXOPS, Universities of Science and Technology in Vietnam, and United States; CTO, AI Specialist and Data Scientist, Global Research Institute of Technology and Engineering, North Carolina, United States. He has 28+ years of working experience, teaching experience, and research experience in Information Technology (Software Development, Database Technology, AI Engineering, Data Engineering, Data Science, Data Analytics, IoT-based Technologies, and Cloud Computing) at the Universities of Technology and Science in USA, EU, India, and Vietnam. He has published 52 authored books (in Computer science year 2000-2010 in Vietnamese), 02 authored books (Software development), 10 book chapters, 04 edited books, and 04 edited books (calling for book chapters) in the field of AI Ecosystem (AI, ML, DL, Robotics, Data Science, Big Data, and IoT), Smart City Ecosystem, Healthcare Ecosystem, Fintech technology, and Blockchain technology (since year 2020).

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