| Book Detail | |
| About The Author's | Prof. Rashmi Singh is a distinguished Professor in the Department of Mathematics at Amity Institute of Applied Sciences, Amity University, Uttar Pradesh, Noida with over more than two decades of dedicated service to academic excellence and mathematical research, she holds a PhD in from the University of Allahabad. Dr. Dinesh Kumar Nishad is an Assistant Professor in the Department of Electrical Engineering at Dr. Shakuntala Misra National Rehabilitation University (DSMNRU), Lucknow, India. His research interests Encompass Power Systems Engineering, Quantum Computing Applications, Artificial Intelligence, Machine Learning, and Renewable Energy Systems. |
| What's special / Useful in this book | Salient Features •Comprehensive Coverage: Complete treatment of quantum computing from first principles to advanced applications through out the chapters. * Pedagogical Excellence: Each chapter begins with clear learning objectives, followed by systematic concept development with worked examples and step-by-step solutions. * Rich Problem Sets: Extensive collection of Short Answer Questions, Descriptive Questions, Numerical Problems, and Multiple Choice Questions at varying difficulty levels. * Visual Learning Aids: Numerous illustrations, quantum circuit diagrams, Bloch sphere representations, and conceptual figures for enhanced understanding. * Industry-Relevant Content: Applications in cryptography, drug discovery, optimization, financial modelling, and materials science. * Contemporary Coverage: Discussions on quantum supremacy, quantum advantage, NISQ devices, quantum volume metrics, and industry roadmaps. * Balanced Approach: Harmonious blend of mathematical rigour, physical intuition, and practical implementation perspectives. |
| Publication Year | 2026 |
| Edition | 1st (2026) |
| Pages | 416 |
| Preface | |
| Preface | Quantum information science stands at the crossroads of physics, mathematics, computer science, and engineering. In recent years, it has evolved from a theoretical curiosity into a field that promises to revolutionize how we process, transmit, and secure information. Quantum computers, once the stuff of science fiction, are now being realized in laboratories worldwide, and the implications for computation, cryptography, and fundamental science are profound. This book is designed as a comprehensive introduction to quantum information and quantum computing, suitable for advanced undergraduates, graduate students, and professionals seeking a self-contained resource. Our aim has been to provide a unified, accessible, and rigorous journey through the mathematical foundations, physical principles, algorithmic techniques, and practical challenges that define this rapidly evolving discipline. Structure and Approach The content is organized into 25 chapters progressing from mathematical foundations through to practical quantum programming. The early chapters establish the essential mathematical language linear algebra, complex analysis, and probability theory upon which quantum mechanics and information theory are built |
| Table of Contents | |
| Table of Contents | 1. Introduction to Quantum Computing 2. Linear Algebra 3. Complex Numbers and Their Applications 4. Matrices and Operations 5. Tensor Products and Composite Systems 6. Probability Theory 7. Introduction to Quantum Mechanics 8. Quantum States and Qubits 9. Operators and Matrices in Quantum Mechanics 10. Quantum Physics Essentials 11. Advanced Quantum Theory 12. Quantum Measurement Theory 13. Density Operators 14. Quantum Gates and Circuits 15. Quantum Circuit Models 16. Quantum Noise and Error Correction 17. Introduction to Quantum Algorithms 18. Fundamental Quantum Algorithms 19. Advanced Quantum Algorithms 20. Quantum Information Fundamentals 21. Quantum Channels and Noise 22. Quantum Error Correction 23. Quantum Cryptography 24. Impact on Classical Cryptography 25. Quantum Hardware and Physical Implementation 26. Current Trends and Future Perspectives |