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This textbook provides a rigorous yet accessible introduction to quantum computing, covering the mathematical and physical principles underlying quantum information processing. Readers will explore qubits, superposition, entanglement, quantum gates, and circuit models, before moving on to key algorithms such as Shor's and Grover's. The book emphasizes a hands-on approach, integrating programming examples and exercises using popular quantum frameworks like Qiskit and Cirq. Later chapters discuss applications in cryptography, optimization, and machine learning, as well as the challenges of building scalable quantum hardware. With its clear explanations, worked examples, and end-of-chapter problems, this book equips readers with both the theoretical knowledge and practical skills needed to engage with quantum computing. It is designed for a one-semester course or self-study, assuming only basic familiarity with linear algebra and programming.
This book is ideal for undergraduate and graduate students in computer science, physics, and engineering who want a structured introduction to quantum computing. It also suits software developers and IT professionals looking to transition into quantum programming, as well as researchers in related fields seeking a foundational reference. Instructors will find it useful as a course text. A basic understanding of linear algebra and Python programming is recommended, but no prior quantum mechanics knowledge is required.
- ✓ Comprehensive coverage from basic principles to advanced algorithms
- ✓ Hands-on programming examples using Qiskit and Cirq
- ✓ Clear explanations with worked examples and end-of-chapter exercises
- ✓ Balances theory with practical applications in cryptography and optimization
- ✓ Suitable for both classroom use and self-study
- ✗ Assumes some prior knowledge of linear algebra and programming
- ✗ May be too introductory for advanced researchers seeking cutting-edge topics
- ✗ Limited coverage of quantum error correction and hardware details
- ✗ Some readers may find the mathematical formalism challenging without supplementary material
- ✗ No companion website or downloadable code repository mentioned
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