Quantum Computing: An Applied Approach 2nd ed. 2021 Edition

I wrote a comprehensive positive review of the 1st Edition which many prospective readers found helpful and since the 2nd Edition adds even more reasons why the book deserves attention, it makes sense to upgrade the original review with a summary of the enhancements in the 2nd Edition.As described in original review - included below - the book contains multiple paths into learning QC, reflecting the varied backgrounds of those entering the industry. However, the book’s most beneficial overall feature is its recency, a significant attribute in the highly dynamic QC industry with breakthroughs on multiple fronts occurring with increasing frequency, especially in the three years since the 1st Edition.And with regard to staying on top of emerging societal impacting technology, the author, Jack Hidary, appears to be an experienced guide. Although not mentioned in book, but worth noting here, his most recent initiative, SandboxAQ, is a firm dedicated to merging AI with QC.NEW CONTENT IN 2ND EDITIONThere’s expanded coverage of recent developments in Quantum Machine Learning and Quantum Hardware, along with more material detailing the important area of Quantum Error Correction. The chapter on Quantum Mechanics now includes a solid section on the Schrodinger Equation.Also noteworthy are these two new sections. One on the QSVT Framework, an important recent advance in classifying algorithms. And the second, on Dirac Notation which beginners will find useful as fluency in it is essential to learning QC.REVIEW OF 1st EDITIONReading ‘Quantum Computing – An Applied Approach’ by Jack Hidary was time and money well spent since it’s actually three books in one. As such, it is neatly organized in three major sections - (1) Foundations (2) Hardware and Applications (3) Toolkit, broadly reflecting the three disciplines intersecting to construct Quantum Computing (QC) – physics, computer science and math.Because of that triplet packaging the book accommodates a wide band of readers. The highly useful Navigating chapter lists five classes - University Instructors, Physicists, Software Programmers, Business Leaders, Independent Study – and recommends for each of those categories the optimal learning path across the extensive content.So you may not want to read the book in the specific order it’s printed, and instead make your own way through content depending on your specific interests and background. However, everyone should read the first two chapters which nicely summarize the history of quantum computing, along with describing a device with the astonishing properties which are not possible in a classical machine. After that, it’s design your journey or simply follow the books order.For example, I’m in the Independent Study group, so found starting with the math the best move. Since QC is spoken in Linear Algebra, not understanding its basic principles means QC will soon become incomprehensible. Fortunately, Linear Algebra is relatively the easiest math to learn (compared to Analysis/Calculus) and the book does excellent job of aggregating the essentials you’ll need to know to become conversant in QC. The math section covers all the machinery needed to fluently participate in quantum computing and is both rigorous and readable.At any rate, there’s a five minute self-test at beginning of the math section which will help you in deciding how much attention to spend in that section. If you’re in the Business Leader category, then you’ll want to begin here.RECENCYTrue to its name, the book’s focus is distinctly on applications. This is where it surpasses the many other books on QC because it has distinct advantage of being up to date, all the more useful in a dynamic field like QC.Many books on QC were written prior to the significant advances over the last decade, and especially in the last three years, leading to several promising results in applying QC in commercial sectors from finance to pharmaceuticals. Indeed, it is precisely such progress which makes it possible to write a solid book with ‘applied’ in its title. And to maintain its freshness factor there’s a GitHub site populated with learning resources and technical updates.Having the latest info is vital in a dynamic area like QC. With improvements occurring regularly.. there’s an advantage of a timely publication. For example, in October 2019 Google claimed its quantum computer demonstrated quantum supremacy, a long sought goal in the industry. Since the author works at Alphabet X, it’s not surprising there’s a chapter devoted to quantum supremacy, explaining what it takes to prove such a claim as opposed to merely asserting ‘quantum advantage’. Also described are several application areas where there’s active research in such programs.AUDIENCEOutside its obvious usefulness in a classroom, there are three discernable groups of readers who’d find this book worthwhile. First and foremost those with coding experience looking to become involved with QC. Next are those with a STEM background. Third, readers (like me) without STEM accreditation, perhaps with business degrees, but with an understanding of modern science.For sure, if you’re in the latter group, then this neatly organized book will bring you up to speed on this steadily emerging technology. Even if you don’t fully absorb the more technical sections, there’s plenty of clear material to make you both conversant in the subject and able to assess opportunities as the sector starts to enter the commercial mainstream.It’s also a useful first book for those with some STEM training who’re looking to come up to speed on quantum computing. They’ll benefit from the extensive coverage applications receive, way beyond what’s contained in other QC texts.The book is especially worthwhile for those with some technical exposure to this area like programmers – as there’s plenty of places to dive into code and interact on GitHub.SUMMARYIf you’re motivated to learn then ‘Quantum Computing – An Applied Approach 2nd Edition’ deserves your consideration. Especially if you have some STEM training or even if you enjoy learning fascinating math/physics.For the serious reader, the book serves as an informative first text on QC.In addition, it also makes a decent handbook. As you learn more QC and become more adapt, it’s a good book to return to, serving as a reference and refresher for core material.Overall, the book does an excellent job of fully covering a challenging subject in a digestible way while maintaining the reader’s appetite. Depending on your STEM credentials, there may be some challenging topics, but in fairness, that is not unexpected for taking on such a difficult and demanding subject.There’s sufficient material so no matter what the reader’s level, it will elevate your quantum computing knowledge. Enjoy the journey.

Eases those of us approaching QC from a technical background into understanding and application of QC in a way that doesn't sacrifice understanding, in comparison to a few other books I've gotten that are applications of QC that involve coding. Got it today and already worked through 100 pages of the math tools section and 50 of the hardware and applications section, nice book. The linear algebra section starts with basic proofs and builds so you have an intuitive understanding of the more advanced topics, glad I didn't skip certain "beginner" parts bc the proofs were useful to review.Feel like this book -> Thomas Wong's -> Mike and Ike is good path of learning.

This is an awesome book, if you take your time to go in deep on each chapter.

The book is unexpectedly concise: the author does not go into every possible detail. Useful references are provided at the very end. I found a few papers I would miss otherwise.Originally, I planned to skip Part III about math concepts, which is 40% of the book. But the provided self-test (5 short questions) made me aware that some foundational concepts slipped my mind. Thanks for that, had to skim it through.By the way, you may benefit from reading the Preface before buying, to make sure the book is right for you.

Overall a good book! Would recommend to newcomers to the field.

Not an easy text and not too abstract. So far, it's exactly what I wanted and has example programs in Python.

Jack’s book is important because it is *applied*, and has exactly the right depth to introduce and inform, without overwhelming. The applied focus makes it important, in giving context and real world focus, vs many quantum books, which are often too abstract and assume too much.A very important focus that Jack pursues is the context of linear algebra - not just trying to cram overly broad abstract concepts in a rote format, as most math education does, but with the powerful focus of real world context from a real world expert, who just left Google with many others to form Sandbox AQ.Jack rightly points out that classical thinking needs to be questioned, and that we need quantum thinking. But open minds will find a rich resource.There is also a critical focus on hands on use of Python, refined by the experience of teaching hundreds of professionals about quantum technology; and coverage of the QIS field (Quantum Information Science), which includes quantum computing, quantum communication and quantum sensing.As a professor who has been researching quantum curriculum for the past several years, I strongly recommend investing in this book, regardless of whatever level of experience you may have. I also recommend following SandboxAQ closely, as they will not just continue their work with quantum technology, but will also be releasing valuable educational material in the AQ field (AI+Quantum).Quantum is not ten years away, it is happening already, and quantum algorithms are changing the way some work is being done. Dig in and learn!

This is my reference to many topics in the theoretical subject matter. In time will do the job as purchased at reasonable price considering other textbooks today.