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Quantum Computing and Information: A Scaffolding Approach

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In a world where quantum computing stands at the crossroads of computation and quantum mechanics, Quantum A Scaffolding Approach offers a meticulously designed pathway for mastering this transformative technology. As part of an educational series, this book serves as a comprehensive resource for beginning graduate students, senior undergraduates, and anyone invested in understanding the quantum computational landscape.The book follows a "scaffolding approach," inspired by pedagogical theories from Lev Vygotsky and Jerome Bruner, guiding readers through complex subject matter without overwhelming them. Through the gradual introduction of concepts, layered reinforcement, and practical exercises, the book facilitates deep learning. Employing ample illustrations, tables, and special boxes for highlights and key concepts, the text makes quantum computing accessible without diluting its intricacies.Four major sections unfold a comprehensive learning from understanding the basics of quantum systems, through the manipulation of these systems with quantum gates, to the fascinating phenomenon of entanglement, and finally, to essential quantum algorithms and error correction techniques.Whether you are a novice to quantum computing or have some experience in the field, this book offers a structured and incremental approach to gaining a robust understanding. Get ready to embark on an enlightening voyage through the captivating realm of quantum computing.

508 pages, Hardcover

Published March 13, 2024

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About the author

Peter Lee

182 books4 followers
Librarian Note: There is more than one author in the Goodreads database with this name.

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Profile Image for Tony Holdroyd.
21 reviews2 followers
June 25, 2024
This book is an important addition to the educational literature on quantum computing and information (QCI).
The “scaffolding approach” in the title refers to tried and tested pedagogy whereby concepts are gradually introduced with layered reinforcement and practical exercises, all of which facilitate deep learning, which this fine book excels at.
With this book as your guide, your journey to a thorough understanding of many aspects of QCI will initially take you through solid foundations in quantum theory. You will then be immersed in single and multi-qubit systems and gates, taking in multiple aspects of entanglement and quantum algorithms, including error correction along the way. I especially like the focus on photons to introduce core quantum ideas, but all the topics are framed in such a way as to inspire and motivate you.
The authors have an engaging, lucid, rigorous, and eminently comprehensible style. They are excellent advocates for the growing importance of quantum computing. They use many excellent illustrations, figures, and tables throughout the text, which are presented and typographically styled in a very clear and readable way in both the e-book and paper versions.
A modest background in complex numbers and linear algebra is always very helpful when tackling quantum topics. Still, even so, the authors go to great lengths to use straightforward and easily understood derivations, often from first principles. A very useful summary of the required math is at the back of the book. The book is also replete with interesting and engaging formative exercises to strengthen and consolidate your learning.
All in all, whether you are starting out on your quantum journey or are already into it, this is a book you need to seriously consider.
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