Quantum Computing: An Applied Approach by Jack D. Hidary (PDF)

Description

This book integrates the foundations of quantum computing with a hands-on coding approach to this emerging field; it is the first to bring these elements together in an updated manner. This work is suitable for both academic coursework and corporate technical training.The second edition includes extensive updates and revisions, both to textual content and to the code. Sections have been added on quantum machine learning, quantum error correction, Dirac notation and more. This new edition benefits from the input of the many faculty, students, corporate engineering teams, and independent readers who have used the first edition.This volume comprises three books under one cover: Part I outlines the necessary foundations of quantum computing and quantum circuits. Part II walks through the canon of quantum computing algorithms and provides code on a range of quantum computing methods in current use. Part III covers the mathematical toolkit required to master quantum computing. Additional resources include a table of operators and circuit elements and a companion GitHub site providing code and updates.Jack D. Hidary is a research scientist in quantum computing and in AI at Alphabet X, formerly Google X.

User’s Reviews

Editorial Reviews: From the Back Cover This book integrates the foundations of quantum computing with a hands-on coding approach to this emerging field; it is the first to bring these elements together in an updated manner. This work is suitable for both academic coursework and corporate technical training. The second edition includes extensive updates and revisions, both to textual content and to the code. Sections have been added on quantum machine learning, quantum error correction, Dirac notation and more. This new edition benefits from the input of the many faculty, students, corporate engineering teams, and independent readers who have used the first edition.This volume comprises three books under one cover: Part I outlines the necessary foundations of quantum computing and quantum circuits. Part II walks through the canon of quantum computing algorithms and provides code on a range of quantum computing methods in current use. Part III covers the mathematical toolkit required to master quantum computing. Additional resources include a table of operators and circuit elements and a companion GitHub site providing code and updates.Jack D. Hidary is a research scientist in quantum computing and in AI at Alphabet X, formerly Google X. About the Author Jack D. Hidary focuses on AI and on quantum computing at Alphabet X, formerly Google X. He and his group develop and research algorithms for NISQ-regime quantum processors as well as create new software libraries for quantum computing. In the AI field, Jack and his group focus on fundamental research such as the generalization of deep networks as well as applied AI technologies.

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐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.

⭐This book is perhaps best for someone who is looking for a broad but shallow introduction to Quantum Computing. It is applied in the sense that you get to ‘play’ with quantum computing concepts using python and Cirq, but I was disappointed that it does not really dig deeply into the various topics. For example there is a demonstration of Grover’s algorithm, but it is not clear how to generalize it beyond the particular example.The coverage is also uneven, for example in the beginning they introduce the Schrodinger equation for a particle in one dimension, but this is never used and it is not clear why it was even discussed.Instead of this book, consider instead https://www.amazon.com/Quantum-Computation-Information-10th-Anniversary/dp/1107002176/

⭐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!

⭐I love this book! The shipping was fast and the product was received without any issues.

⭐Great book, good overview, wished there would be a bit more on the hardware architectures. There is no good book on that, and this is one of the few books that actually looks into the architectures, whoever spends too little time on it.

⭐Als GeschenkLuvre d’ Intérêt scientifique

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