Applications and Principles of Quantum Computing

Applications and Principles of Quantum Computing

Alex Khang (Global Research Institute of Technology and Engineering, USA)
Release Date: January, 2024|Copyright: © 2024 |Pages: 491
DOI: 10.4018/979-8-3693-1168-4
ISBN13: 9798369311684|ISBN13 Softcover: 9798369344934|EISBN13: 9798369311691
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Description & Coverage
Description:

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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Artificial Intelligence
  • Augmented Reality
  • Autonomous Vehicles
  • Big Data
  • Biotechnology
  • Blockchain
  • Cloud Computing
  • Cybersecurity
  • Data Science
  • Internet of Things
  • Machine Learning
  • Natural Language Processing
  • Quantum Computing
  • Robotics
  • Virtual Reality
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Editor/Author Biographies
Alex Khang , Professor in Information Technology, D.Sc., D.Litt., AI and Data Scientist, Department of AI and Data Science, Global Research Institute of Technology and Engineering, Fort Raleigh, North Carolina, 27612, United States. Alex Khang, is a Professor in Information Technology, D.Sc. D.Litt., AI and data scientist, Software industry expert, and the chief of technology officer (AI and Data Science Research Center) at the Global Research Institute of Technology and Engineering, North Carolina, United States. ORCID: 0000-0001-8379-4659. He has more than 28 years of teaching and research experience in information technology at the universities and institutes of information technology in Vietnam, India, and United States. He has published 74 documents indexed by Scopus, 52 authored books, 3 authored books (software development), and authored/co-authored 10 papers, 50 book chapters. He has published 15 edited books, and calling for book chapters for 16 edited books in the fields of AI ecosystem. He has over 30 years of working experience as a software product manager, data engineer, AI engineer, cloud computing architect, solution architect, software architect, database expert in the foreign corporations of Germany, Sweden, the United States, Singapore, and multinationals (former CEO, former CTO, former Engineering Director, Product Manager, Senior Software Production Consultant, Data Product Manager).
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