Автор: Ray LaPierre
Издательство: Springer
Год: 2021
Страниц: 369
Язык: английский
Формат: pdf (true), epub
Размер: 60.2 MB
This book provides a self-contained undergraduate course on quantum computing based on classroom-tested lecture notes. It reviews the fundamentals of quantum mechanics from the double-slit experiment to entanglement, before progressing to the basics of qubits, quantum gates, quantum circuits, quantum key distribution, and some of the famous quantum algorithms. As well as covering quantum gates in depth, it also describes promising platforms for their physical implementation, along with error correction, and topological quantum computing. With quantum computing expanding rapidly in the private sector, understanding quantum computing has never been so important for graduates entering the workplace or PhD programs. Assuming minimal background knowledge, this book is highly accessible, with rigorous step-by-step explanations of the principles behind quantum computation, further reading, and end-of-chapter exercises, ensuring that undergraduate students in physics and engineering emerge well prepared for the future.
The book begins in Chap. 1 with the double-slit experiment and the principle of superposition, which contain some of the essential features of quantum mechanics. From there, the book moves onto energy quantization in Chap. 2 and spins in Chap. 3, from which the concept of qubits in Chap. 4 can be understood. Chapters 5 and 6 introduce entanglement, the Bell inequality, and applications of entanglement. Quantum gates are introduced in Chap. 7, followed by typical circuits (teleportation, superdense coding) in Chap. 8. These ideas are refined in Chaps. 9 and 10 with tensor products and computational complexity. Three famous algorithms (Deutsch, Grover, and Shor) are covered in Chaps. 11 to 13. Concepts underlying the physical implementation of quantum gates are treated in Chaps. 14 to 18. Finally, the different physical platforms for quantum computing are described in detail in Chaps. 19 to 26, including quantum error correction in Chap. 25.
Quantum computing is a fascinating and exciting topic, but also a complicated one. Understanding quantum computing requires the synthesis of knowledge across many disciplines of physics and computer science, including electrodynamics, electronics, condensed matter physics, and quantum mechanics, posing a challenge to any beginner. I hope this book offers a good beginning to your journey.
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