The Scaffolding Series Complete Paperback Set

(Imported from Amazon) This book begins with a review of the fundamental concepts of quantum algorithms, followed by detailed explanations of key techniques such as the Quantum Fourier Transform (QFT) and Quantum Phase Estimation (QPE). It then bridges these foundations to Shor’s factoring algorithm. After demonstrating Shor’s algorithm through concrete examples, the discussion expands into the more general framework of Hidden Subgroup Problems.
The book also highlights the importance of Hamiltonian simulation, explaining time evolution as governed by the Schrödinger equation. And Variational algorithms based on Ansatz are treated with a rigor and depth that is particularly commendable.
Unlike many CS-oriented books, this book devotes substantial space to simulations in physics and chemistry. The Hamiltonian introduced earlier plays a central role here as well. In doing so, the book provides a concrete and efficient approach to simulating nature, staying true to the vision originally envisioned by Feynman.
In addition, readers can explore modern applications such as quantum optimization and quantum machine learning. Together with the other two volumes in the Scaffolding series, this book is likely to become a definitive reference in quantum computing for researchers, engineers, and students alike.

(Imported from Amazon) This book is a learned and thorough exposition of the mathematics that supports quantum computing.
The authors have gone to great lengths to make it both learner-friendly and detailed while maintaining rigor. It covers topics ranging from the fundamentals of quantum mathematics to the complexities of vector and matrix algebra, as well as the probabilities central to quantum computing. The text is complemented by numerous supporting figures that effectively illustrate key concepts. Applications of quantum computing are introduced and seamlessly integrated throughout the book. This volume, along with its companion, Quantum Computing and Information - a Scaffolding Approach, is an essential addition to the bookshelf of anyone seeking a deeper understanding of quantum computing and its mathematical foundations.

(Imported from Amazon) This comprehensive and eminently readable, timely and sumptuously illustrated book is a tour-de-force through the world of quantum computing and information (QCI). It takes readers on a vivid and accessible journey all the way from the foundations of quantum computing using photons, all the way to quantum algorithms and error correction by way of quantum gates, circuits superposition entanglement and all points in between. It's rare to find a book that speaks so directly to the experience of the reader as they tackle new concepts and techniques and this is another of its excellent aspects.

(Imported from Amazon) Just started, but seems to be on par with the prior book in the series. Excellent reference overall. Again docking a star for no solutions available for self-study. There is also a minor printing/binding issue where the last page from the chapter 23 (which is in volume 2) got included after chapter 14 at the end of volume 1. It is clear that they made a last minute decision to split the book into 2 volumes and this is just a harmless mistake made in the split. (The page is also in its correct location in volume 2)

(Imported from Amazon) I purchase this among many books in my attempts to find materials suitable for my learning style and self-instruction. This ended up being one of my three primary sources for the fundamentals of QC/QI theory, which I augmented with two other books on QC programming in specific frameworks. I purchased and sampled about 20 works on the subject, right down to the rather dense "Nielson and Chuang." I found this work to be far more accessible while remaining quite disciplined. I worked through all but a couple of small sections (mostly hardware implementation-related) in detail and doing nearly every exercise. I also wrote several (many?) accompanying small QC programs of my own devising or from other works to complement the material. Treatment is appropriately mathematical but not overly so. Explanations are quite clear. I think they manage to make a rather odd and deeply mathematical subject as relatable as it possibly can be. Their discussion on photon polarization early in the book establishes a baseline "intuition" about how this all works that the moves into spin states and then on to higher-level abstractions. Being an engineer and not a scientist, I very much appreciated starting with something concrete first, with subsequent generalization and abstraction later. I even purchased some inexpensive polarizing film to "play with" and observe some of the phenomena for myself. I now use them as a starting point for introducing others to the subject. My only real disappointment is the lack of an "answer key" anywhere. I understand teachers' and professors' lack of enthusiasm for published answer keys. Many students, especially those who do not understand self-sabotage, will simply pull the answers before trying the problems themselves. But there is another population of us who have the discipline to not do that, and I am over 60. I do not have the time to attend lectures regularly. Exercises are extremely important, but so is fast feedback (learning happens faster with fast feedback). Do a problem, get it wrong, find out RIGHT AWAY!! Fix it. Learn. So I give this book 4 starts instead of 5 just because it is not really intended for self-instruction. But I have to recommend it. It is an excellent introduction to a very interesting and challenging subject.

(Imported from Amazon) great textbook, very sturdy. actually a really good textbook

(Imported from Amazon) This is the second book of the scaffolding series in quantum computing by the authors. I've read the first one (QCI) and it impressed me a lot. In my opinion this second book also hits the target - it can serve as a math reference at all levels in quantum computing which is somehow currently lacking in the market.
If one tries to read any quantum computing books for "beginners", it is nearly unavoidable that they soon (typically within 20 pages into the book) find themselves encountering math that is rarely used in fields other than quantum physics, such as matrices and vectors comprising complex numbers and the strange-looking Dirac notation. For those who have never seen those before, it can be truly intimidating. But unfortunately, the quantum stuff is too weird (if not impossible) to be explained without using those tools. Actually, Dirac notation is such a smart invention that it makes understanding quantum stuff much easier (than without using it).
However, before this book, a specific math reference for quantum computing is rarely done. The math introduction for quantum computing books is typically too brief for beginners (I've read multiple books trying to explain all the required math in 20 or so pages), and general linear algebra textbooks is not specific to quantum computing so they are not very useful, either. But this book fills the blank. It is a detailed, accessible math book specific to quantum computing.
I found that a good feature of this book is to introduce contents in a progressive and reference-serving manner that fits all levels of readers. A reader can start from any part depending on the foundation level. Part One gives important preliminaries - sets, functions, trigonometry and complex numbers. Part Two introduces basic linear algebra covered in most textbooks but with complex components and Dirac notation. Part Three covers the more advanced quantum computing-specific math tools. Part Four is probability theory basics that is also intrinsic for the quantum world.
I think the book is written in a way that matches its scaffolding approach. It is quite accessible to read. As long as the reader has a solid math foundation from high school, the book can be accessible with so many examples and exercises. Along with the first book of the series, they can altogether serve as a quite good starting point for those who hope to seriously understand quantum computing in a rigorous way. I am looking forward to their third book (the quantum algorithm one).

(Imported from Amazon) The purchase process was smooth and delivery was fast and on time. The book I bought is exactly I expected. A well written book on quantum computing with a high degree of pedagogical explanation and a fair price.

(Imported from Amazon) The purchase process was smooth and fast. The item I bought is exactly what I expected. The book about quantum computing is written in the scaffolding approach, which is exactly what I need to better understand quantum computing. The price is worthy considering the quality of the book.

(Imported from Amazon) El libro llegó dañado, por el pésimo empaque, no tienen el más mínimo cuidado, además el libro en la editorial está en color, y el que me llegó es el más caro (pasta dura) y la impresión es en blanco y negro. Estoy muy molesto.

(Imported from Amazon) The book is in excellent condition.

(Imported from Amazon) The book isn't compatible with the Kindle Scribe which is ridiculous!

(Imported from Amazon) Bought as a graduation present for my grandson in lew of a card.
He loved it!

(Imported from Amazon) I found this book incredibly helpful. Just right for my beginning study on quantum computing. Recommended!

(Imported from Amazon) Worth to have one on hand.

(Imported from Amazon) An educator's approach to quantum computing. Includes detailed explanations, accompanied by worked examples of notations, vectors, linear spaces, matrix methods, and fundamental concepts in quantum probability such as the Markov Chains. Definitely a great reference for those interested in the quantum world.

(Imported from Amazon) I appreciate the scaffolded approach presented in the book. The examples are great, and they quickly build upon prior ones. If the evolution of computing is about to take a leap forward, this text will help more people grasp the concepts and even participate in these exciting advances in technology.

(Imported from Amazon) This book is a concise and complete mathematical foundation for quantum computing.

(Imported from Amazon) Mathematical Foundations of Quantum Computing offers a rigorous yet accessible mathematical foundation tailored for quantum computing, emphasizing essential topics like linear algebra, complex analysis, and probability while excluding less relevant areas such as differential equations. The book’s early use of Dirac notation, Pauli matrices, and tensor products reflects its alignment with quantum computing's core demands. Its scaffolding pedagogy ensures a clear progression from basic concepts to advanced topics such as spectral decomposition and Monte Carlo methods, enhanced by problem sets and level indicators for diverse learners. The text is well-structured into four focused parts—preliminaries, vectors/matrices, matrix methods, and probability—balancing breadth and depth. It bridges theory and practice by presenting matrices as dynamic operators and incorporating real-world tools like the Schmidt decomposition and MCMC methods. Contributions from interdisciplinary experts and the inclusion of appendices and key formulas further enhance its value as both a textbook and reference. This volume stands alone as a self-contained resource while preparing readers for further study in quantum algorithms. Overall, it excels in clarity, depth, and educational design, making it a vital resource for students, instructors, and researchers in quantum computing.

(Imported from Amazon) Great book, both for textbook and for self study.

(Imported from Amazon) It's a good source for quantum computing. It covers the majority of the topics. However, I miss a discussion on the quantum Fourier transform. But overall, it's a good book to have on this topic.

(Imported from Amazon) This book is structured to introduce students from many different technical interests to quantum information science. The careful computational and conceptual development at the beginning of the book is oriented toward students at the freshman or sophomore levels who have the appropriate mathematical background in algebra and linear algebra. Unfortunately, many students who could benefit from this (reflective of the rapidly emerging importance of quantum information science, beyond practical quantum computing) do not have the needed training in linear algebra (since the more abstract nature of the subject tends to be avoided by teachers in high school or the first two years of college). The next part of the book, about quantum entanglement and the Bell inequalities, is a superb historical orientation for how the field of quantum information science became influential by about 2000. It is a good culmination for a sophomore level course based on this text. The final section explores quantum information science as it existed in 2022/3 with many openings for research and exploratory student projects. This makes the book of interest in upper division undergraduate courses geared toward such explorations, and the extensive references (many current up to about 2023 or early 2024) give the book a slant that would appeal to first year grad students as well. Personally, on the whole, I think this book is a little ahead of its time, due to my comment about the inadequacy of most high school and early college treatments of linear algebra. Naturally, it's superb crafting and the rapidly growing importance of quantum information science, makes it a highly appealing textbook. In an ideal world with students well-prepared in linear algebra, it is a sophomore - level text and a great one for conceptual and computational skills (with excellent illustrations that aid understanding and clarity). In the world as it is, this is better suited as a senior-level or first-year graduate level course, but at those levels simply does not fit in most traditional curricula at universities and colleges. Very important text: well-written, timely, and highly recommended. The field of quantum information science is likely to increase in importance in the next ten years.

(Imported from Amazon) Molto bene

(Imported from Amazon) As a person whose background is in liberal arts, yet who likes science, I was little hesitant to tackle this book. Thanks to its clear, logical prose and good design, I was able to navigate through the complexities. Well done!