Concise Guide to Quantum Computing: Algorithms, Exercises, and Implementations

This textbook covers basic theoretical concepts and methods for solving quantum computing and algorithms problems, with examples and exercises related to information technologies.

Format: Hardback
Length: 122 pages
Publication date: 25 February 2021
Publisher: Springer Nature Switzerland AG

This comprehensive textbook is meticulously designed to serve as a valuable resource for practical, laboratory-based sessions associated with the course of quantum computing and quantum algorithms, as well as for self-study purposes. It encompasses a wide range of fundamental theoretical concepts and methodologies, empowering readers to solve a variety of basic problem types effectively. The book provides an insightful overview of essential qubit operations, entangled states, quantum circuits, implementing functions, quantum Fourier transform, phase estimation, and other crucial topics. Furthermore, it serves as a solid foundation for the application of cutting-edge information technologies in education and corporate technical training.

The textbook is structured to facilitate learning and understanding. It begins with an introduction to the fundamental principles of quantum computing, including quantum bits (qubits), superposition, and entanglement. This foundational knowledge is then applied to explore complex topics such as quantum algorithms, which are used to solve complex problems efficiently.

Throughout the book, theoretical material is accompanied by practical examples and exercises. These examples not only reinforce the theoretical concepts but also provide readers with hands-on experience in applying them to real-world scenarios. Each exercise is accompanied by detailed solutions, allowing readers to gain a deep understanding of the subject matter.

In addition to its theoretical content, the textbook also emphasizes the importance of professional competencies in computer science. It includes a wealth of detailed examples that serve to enhance readers' skills and expertise in this field. These examples cover various aspects of quantum computing, including quantum cryptography, quantum simulation, and quantum machine learning.

By incorporating a blend of theoretical insights, practical applications, and hands-on exercises, this textbook offers a comprehensive and rigorous approach to learning quantum computing and quantum algorithms. It is an essential resource for students, researchers, and professionals seeking to advance their knowledge and expertise in this rapidly evolving field.

Weight: 406g
Dimension: 241 x 159 x 16 (mm)
ISBN-13: 9783030650513
Edition number: 1st ed. 2021