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Quantum Computing and Simulation

Quantum Computing and Simulation Principles, Methods and Applications

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Simulation Foundations, Methods and Applications

Quantum Computing and Simulation

Principles, Methods and Applications

Deniz Cetinkaya

Computers / Quantum Computing

As quantum computing moves from theoretical promise to practical reality, its potential to transform scientific simulation and computational modelling is becoming increasingly evident.

This book provides a rigorous and accessible introduction to quantum computing and its application to modelling and simulation (M&S), bridging the gap between quantum theory and simulation practice. Beginning with the fundamentals of qubits, superposition, entanglement, and quantum gates, it progresses to quantum software engineering, quantum algorithms, and hybrid quantum-classical approaches. Real-world applications in areas such as chemistry and materials science demonstrate how quantum computing is reshaping computational science, while coverage of quantum error correction, fault tolerance, and emerging research prepares readers for future developments.

Topics and features:

·         Provides a unified pathway from conceptual foundations of quantum mechanics to the development of quantum algorithms

·         Delivers content that is accessible to readers without prior knowledge of quantum computing, while maintaining conceptual and mathematical rigor

·         Presents hybrid quantum-classical approaches as a coherent route toward near-term simulation applications

·         Integrates quantum software engineering perspectives and programming paradigms relevant to quantum-enhanced model implementation and simulation

·         Offers critical examination of practical constraints and engineering challenges in current quantum computing systems

·         Explores future research directions

This book is primarily aimed at graduate students, researchers, and practitioners who seek a systematic understanding of quantum computing and its role in M&S. Professionals in computational science, engineering, and simulation-intensive industries will also find it a comprehensive and practical resource.

The author is affiliated with the School of Computing and Engineering at Bournemouth University, UK. She is also the director of HUBYDO Software and Technology Ltd. company.

Deniz Cetinkaya is a Principal Academic in Computing at Bournemouth University, UK, with extensive experience in computer science, software engineering, and intelligent systems. Her research interests include software engineering practice and methodology, modeling and simulation, quantum computing, and quantum machine learning. She is also the director of HUBYDO Software and Technology Ltd.


Publication Date: 11 October 2026
Publisher: Springer Nature Switzerland
Imprint: Springer
ISBN-13: 9783032364241
Format: Hardback

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