Introduction to Quantum Computing: From a Layperson to a Programmer in 30 Steps

This textbook provides a comprehensive introduction to quantum computing for readers with limited background in linear algebra, based on the author's self-study experience as an engineer. It is designed for undergraduate and master students willing to dedicate 60-90 hours to serious learning, and includes over 200 exercises with answers. Readers will gain the ability to write their own programs to simulate quantum computing algorithms and run them on real quantum computers through IBM-Q. The book employs precise formalism to facilitate further exploration of advanced topics.

Format: Hardback
Length: 355 pages
Publication date: 02 September 2023
Publisher: Springer International Publishing AG

Quantum computing is a rapidly evolving field that has the potential to revolutionize the way we solve complex problems. This textbook aims to introduce quantum computing to readers who do not have a strong background in linear algebra, drawing on the author's own self-study experience as an engineer. The author targets undergraduate and master students who are willing to dedicate approximately 60-90 hours to seriously learning quantum computing.

The book is also suitable for self-study and can be used as a resource for teaching videos for each chapter. Additionally, over 200 exercises with answers are provided, allowing readers to practice and apply the concepts they have learned. One of the unique features of this book is its emphasis on using exact formalism. By employing this approach, readers can continue to pursue more advanced topics in quantum computing, building on the foundation laid in this text.

The textbook is organized into five chapters, each covering a different aspect of quantum computing. The first chapter provides an overview of quantum computing, including its history, principles, and applications. The second chapter focuses on quantum gates, which are the basic building blocks of quantum computing. The third chapter explores quantum algorithms, including their design, analysis, and implementation. The fourth chapter discusses quantum information theory, which is essential for understanding the behavior of quantum systems. The fifth chapter explores the practical aspects of quantum computing, including hardware and software considerations, as well as the challenges and opportunities associated with building quantum computers.

Throughout the textbook, real-world examples and case studies are used to illustrate the concepts and applications of quantum computing. These examples help to make the material more accessible and relatable, and they also demonstrate the practical significance of quantum computing in various fields, such as cryptography, materials science, and drug discovery.

In conclusion, this textbook is an excellent resource for anyone interested in learning quantum computing. Whether you are an undergraduate or master student, a researcher, or a professional seeking to expand your knowledge in this field, this book will provide you with a solid foundation in quantum computing. With its emphasis on exact formalism, practical examples, and extensive exercises, this textbook is sure to help you achieve your goals and advance your understanding of this rapidly evolving field.

Weight: 735g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031369841
Edition number: 2nd ed. 2024