Full Description
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.
