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Quantum Searching and Optimization Algorithms

A Comprehensive Guide
Artikelnummer: 978-1-032-88147-8
Einband: Fester Einband
Verfügbarkeit: Noch nicht erschienen, Dezember 2026
CHF 235.00
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This book offers a rigorous and forward-looking exploration of one of the most consequential frontiers in modern computation: the use of quantum mechanics to accelerate search, optimization, learning, simulation, and secure information processing. It begins by establishing the conceptual and mathematical foundations of quantum computation, including quantum gates, circuit design, quantum parallelism, and the distinctions between classical and quantum models of information processing. It then develops the algorithmic core of the field, examining how quantum principles can be systematically translated into high-impact procedures for searching structured and unstructured spaces, solving optimization problems, and achieving provable computational advantages under realistic hardware constraints.

This book:

  • Provides a comprehensive treatment of the broader quantum ecosystem.
  • Covers quantum cryptography and post-quantum security, error correction and fault tolerance, programming frameworks and software stacks, hardware platforms, and the emerging interface between quantum computing and machine learning.
  • Critically engages with real-world applications in finance, logistics, pharmaceuticals, climate science, cybersecurity, and materials discovery which demonstrate the transformative reach of technology.
  • Engages with future trajectories, commercialization, ethics, governance, and global equity.
  • Equips readers to understand both the power and the limits of quantum computation.

Designed for researchers, advanced students, engineers, and technology strategists, this volume presents quantum computing not as an abstract scientific curiosity, but as a structured computational discipline grounded in qubits, unitary gates, circuit architectures, interference engineering, and algorithmic complexity. It is an essential reference for anyone seeking to navigate the technical depth, interdisciplinary scope, and strategic significance of quantum searching and optimization in the coming computational era.

This book offers a rigorous and forward-looking exploration of one of the most consequential frontiers in modern computation: the use of quantum mechanics to accelerate search, optimization, learning, simulation, and secure information processing. It begins by establishing the conceptual and mathematical foundations of quantum computation, including quantum gates, circuit design, quantum parallelism, and the distinctions between classical and quantum models of information processing. It then develops the algorithmic core of the field, examining how quantum principles can be systematically translated into high-impact procedures for searching structured and unstructured spaces, solving optimization problems, and achieving provable computational advantages under realistic hardware constraints.

This book:

  • Provides a comprehensive treatment of the broader quantum ecosystem.
  • Covers quantum cryptography and post-quantum security, error correction and fault tolerance, programming frameworks and software stacks, hardware platforms, and the emerging interface between quantum computing and machine learning.
  • Critically engages with real-world applications in finance, logistics, pharmaceuticals, climate science, cybersecurity, and materials discovery which demonstrate the transformative reach of technology.
  • Engages with future trajectories, commercialization, ethics, governance, and global equity.
  • Equips readers to understand both the power and the limits of quantum computation.

Designed for researchers, advanced students, engineers, and technology strategists, this volume presents quantum computing not as an abstract scientific curiosity, but as a structured computational discipline grounded in qubits, unitary gates, circuit architectures, interference engineering, and algorithmic complexity. It is an essential reference for anyone seeking to navigate the technical depth, interdisciplinary scope, and strategic significance of quantum searching and optimization in the coming computational era.

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VerlagTaylor and Francis
EinbandFester Einband
Erscheinungsjahr2026
Seitenangabe368 S.
AusgabekennzeichenEnglisch
Abbildungenschwarz-weiss Illustrationen, Zeichnungen, schwarz-weiss, Tabellen, schwarz-weiss
MasseH23.4 cm x B15.6 cm
CoverlagCRC Press (Imprint/Brand)
AutorVerma, Pawan Kumar / Kumar, Mohit / Singhal, Saurabh / Nayyar, Anand

Über den Autor Pawan Kumar Verma

Pawan Kumar Verma is currently working as an Associate Professor in the Department of Computer Science & Engineering at Symbiosis Institute of Technology, Nagpur, a constituent of Symbiosis International (Deemed University), Pune, Maharashtra, India. Dr. Verma has over 13.5 years of experience in teaching and research. He is a Wipro-certified Java Trainer and is also Pega CSA-certified. He is currently pursuing postdoctoral research at Lincoln University College, Malaysia. He received his Ph.D. in Computer Science & Engineering in 2022, specializing in Artificial Intelligence. His doctoral research provided him with a solid foundation in the field of AI and prepared him for a career in academia and research. Dr. Verma has made significant contributions to research and innovation by publishing various research articles in various high-quality SCIE impact factor journals and Scopus/ESCI-indexed journals, international conferences indexed by Springer and IEEE and book chapters. Also, he holds various Indian design patent. Dr. Verma's diverse research interests include the Internet of Things, Data Science, Machine Learning, and Deep Learning, reflecting his multidisciplinary approach to addressing modern challenges in technology and engineering.>50. Dr. Kumar has also served as a reviewer for prestigious journals. Dr. Kumar has taken on the role of session chair at various international conferences. Furthermore, he was part of the Technical Program Committee (TPC) and contributed as an organizing committee member for multiple international conferences. He has been granted three patents, authored one book, and is currently working on another book. Dr. Kumar has also worked as a consultant in Govt. funded projects. His research interest includes Wireless Sensor Networks, Internet of Things, Data Science, Machine Learning and Deep Learning.Saurabh Singhal is Professor at Greater Noida Institute of Technology and Management (Engineering Institute), Greater Noida having more than 19 years of experience. He completed his Ph.D. in 2021. Prior to start of Ph.D., he obtained his M.Tech. degree specialized in Grid Computing. He has published more than 50 papers in international journals and conferences of repute. His research areas include resource management and placement optimization in the field of parallel and distributed systems. Dr. Saurabh Singhal is a passionate reader and is member of more than 6 professional bodies.. He has reviewed more than 5700+ Articles for diverse Web of Science and Scopus Indexed Journals. He is currently researching in the area of Wireless Sensor Networks, Internet of Things, Swarm Intelligence, Cloud Computing, Artificial Intelligence, Drones, Blockchain, Cyber Security, Healthcare Informatics, Big Data and Wireless Communications.

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