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Quantum Computing

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Product details

  • ISBN 9781032813684
  • Weight: 660g
  • Dimensions: 178 x 254mm
  • Publication Date: 16 Apr 2025
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Description

Quantum computing and algorithms are set to revolutionize information processing. Covering such topics, Quantum Computing: The Future of Information Processing explains its principles, practical applications, and future implications in a clear and accessible manner. The book strives to simplify the essential concepts and practical applications of quantum computing. Its aim is to help students and researchers to apply quantum computing to advance AI and machine learning, cybersecurity, and blockchain. With its emphasis on practical applications, the book covers how quantum computing is changing such fields as:

  • Finance
  • Medicine
  • Built environment
  • Networking and communications

With extensive real-world case studies and practical implementation guidance, the book is a guide for those seeking to understand how quantum computing is applied in various industries. Its in-depth exploration of quantum computing covers both foundational principles and advanced applications in a single resource, saving readers the need to purchase multiple books. Finally, the book focuses on the future of information processing so that students and researchers can anticipate and prepare for the transformative impact of quantum computing.
About

Amit Kumar Tyagi is an assistant professor, Department of Fashion Technology, National Institute of Fashion Technology, New Delhi. He earned a Ph.D. from Pondicherry Central University, India. He has worked as assistant professor, and senior researcher at the School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India.

Shrikant Tiwari is an associate professor in the School of Computing Science and Engineering (SCSE), Galgotias University, Greater Noida, India. He received a Ph.D. from the Department of Computer Science & Engineering at the Indian Institute of Technology (Banaras Hindu University), Varanasi, India. He has authored or co-authored more than 50 national and international journal publications, book chapters, and conference articles. He has five patents filed to his credit. His research interests include machine learning, deep learning, computer vision, medical image analysis, pattern recognition, and biometrics. Dr. Tiwari is a FIETE; a senior member of the IEEE; and member of ACM, IET, CSI, ISTE, IAENG, and SCIEI.

S. V. Nagaraj is currently a professor at Vellore Institute of Technology, Chennai. He obtained a bachelor of engineering in 1992 in computer science from the University of Madras. At the Institute of Mathematical Sciences, Chennai, he completed a master of science via the research program in theoretical computer science in 1994 and obtained a doctoral degree in the same field in 2000.