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An accessible introduction to an exciting new area in computation, explaining such topics as qubits, entanglement, and quantum teleportation for the general reader.

Quantum computing is a beautiful fusion of quantum physics and computer science, incorporating some of the most stunning ideas from twentieth-century physics into an entirely new way of thinking about computation. In this book, Chris Bernhardt offers an introduction to quantum computing that is accessible to anyone who is comfortable with high school mathematics. He explains qubits, entanglement, quantum teleportation, quantum algorithms, a

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Book ID Asin: 0262039257
Book Title: Quantum Computing for Everyone (The MIT Press)
Book Author: Chris Bernhardt
Book Format and Price:
Book Price: unknown
Book Category: Books, Computers & Technology, Computer Science and unknown
Book Rating: 327 ratings

Quantum Computing for Everyone (The MIT Press) by Chris Bernhardt Book Review

Name: A. Menon
Rating: 4.0 out of 5 stars
Title: Largelyreadableintroductiontoquantumcomputation
Date: Reviewed in the United States on July 16, 2019
Review: Quanting computing for everyone provides a readable introduction to the mathematical structure of computing with qubits. The author does a fine job of introducing a challenging subject to the reader, and by using only real coefficients for quantum states, does a novel job of smoothing over the complexities of phase. The level is around the same as the author's other work "Turing's Vision", and is approachable but has its challenges and there are certain parts where the uninitiated will have to gloss over and perhaps return or just try to absorb the big picture concept.The book is split into 9 chapters and the first 6 are the most readable. The first chapter where the author describes spin includes a practical experiment anyone can do with polarized filters that displays the remarkable consequences of quantum mechanics and measurement. The author then gets into linear algebra and its use in formalizing the structure of quantum mechanics. I think the author does a great job of guiding the reader through a deep subject with concrete examples of how was switches basis, what it means and row and column space. The author then goes back to quantum mechanics and discusses qubits and how spin 1/2 particles can encode qubits. The author gets into privacy experiments with the infamous Alice, Bob and Eve to illustrate how encryption scenarios are described. The author then tackles the profound issues of entanglement and measurement. In particular the author introduces the reader to tensor product spaces and the construction of entangled states that cannot be a combination of individual particle basis states. The author is able to introduce Bell's inequality and non-locality which is a feat in itself as it is a remarkable result and the author does it with just using real coefficients for a 3 particle system. The author then moves on to basic circuit logic and the construction of universal gates. Boolean logic is of course discussed as well as how one can build functions from logic gates. The author introduces concepts like reversible computation and brings up that one can compute with analog machines set up in appropriate initial conditions and the concept of computation flows far outside of traditional computer science and into the realm of physics. The material starts to get challenging when he starts to describe quantum gates and computation. Though the material is self contained it is not the easiest to follow as ideas start to build through layers of logic. Finally the author gets into how one can use quantum algorithms to solve NP problems for efficiently than is currently possible through classical algorithms. He discusses the wave of innovation in ideas in quantum computing in the 80s and introduces Shor's algorithm but at a high level given how involved some of the properties are.Overall Quantum Computing for Everyone is readable but challenging. I think a variety of readers can get something out of the book. I think it unlikely that one has the ability to use this book to become well acquainted with the subject but it can be used to get a sense of the ideas and it can be used by those well versed to get some intuitive communication about ideas they already know. Definitely worth trying to go through for those interested in the subject and could be read as supplemental to a text book for those looking for both substance and intuition.

Name: Brian Probert
Rating: 2.0 out of 5 stars
Title: Ausefulintroductionbutamissedopportunity
Date: Reviewed in the United States on May 15, 2019
Review: As retired software developer with a degree in mathematics but no prior knowledge of quantum mechanics, I should be the ideal target reader for this book but I found it a somewhat frustrating read and felt that there were significant shortcomings. The first chapter introduces the basic physics of observing electron spin and the polarisation of photons — the latter being particularly interesting. Chapter two covers the basics of linear algebra but — unaccountably — does not introduce tensor products which are dropped into the entanglement chapter without prior definition only to be explained a few pages later. (By this point I — probably like many other readers — had wasted a significant of time trying to research tensors online.) Part of the problem is that this essential definition is not referenced in the index and neither are important terms like “unitary” and “superposition”. The somewhat poor indexing, omission of a glossary and lack of any systematic cross referencing system such as numbering of subheadings makes it difficult to follow arguments which rely on concepts and results introduced earlier.There is a chapter on boolean algebra and classical logic gates which contributes little to the rest of the book because quantum gates are fundamentally different so that — for example — trying to draw an analogy between a boolean CNOT gate and a qubit CNOT gate serves to confuse rather than enlighten. Although this book intentionally concentrates on presenting a simplified approach to the mathematics of quantum computing, it would have been helpful to give more historical context for Schrödinger’s original proposition of entanglement — rather than just pull the idea put of a (previously unexplained) tensor product.After a useful introduction to computational complexity, there are fairly detailed step-by-step descriptions of a few quantum algorithms such as Deutsch’s Algorithm which illustrate how quantum computation can require fewer steps than classical computation. These are quite difficult to follow and gloss over a few significant conceptual points such as the meaning of x XOR y when x and y are qubits. In this regard, the book is little better than the equally sketchy descriptions which can be readily found online — and this is missed opportunity to enlighten the ‘everyone’ which the title promises. However, the the basic concepts set out in the book — mainly in chapters 1 and 2 — are certainly helpful for further reading.The final chapter “Impact of Quantum Computing” describes — somewhat uncritically a few of the ongoing developments. This is quote regarding one of the technologies which Bernhardt describes “‘Quantum annealing does not bring us closer to universal quantum computing’ says Jerry Chow, manager of IBM’s Experimental Quantum Computing team.” So, will quantum computing progress linearly like steam engines, exponentially like classic computing or remain a chimera like fusion reactors? This book does not attempt to answer that question but then that is not its purpose.

Name: Tim
Rating: 5.0 out of 5 stars
Title: EverythingYouWantedtoKnowAboutQuantumComputingButWereAfraidtoAsk
Date: Reviewed in the United States on April 15, 2019
Review: Book distills the concept of Quantum Computing or QC into succinct chapters. Yet, not for the faint of heart. One needs a basic understanding of Linear Algebra to understand the basics of how and why a Q Computer works and some of the concepts of Quantum Mechanics.I recommend it as a base jump into the world of QC.

Name: Roger A. Grimes
Rating: 4.0 out of 5 stars
Title: Goodtogreatbookbut90mathabettertitlewouldhavebeenQuantumComputation
Date: Reviewed in the United States on September 12, 2019
Review: It's a good to great book on the subject. The author obviously knows the subject very well. Unfortunately I'm not a polymath and 90% of the book is math proofs. It's pretty awesome to see the math behind many quantum mechanic/computing subjects, but I'm just not smart enough to comprehend most of it. The author absolutely explains most of it, but it's quickly gets so advanced that I just couldn't follow it (confession, I was only a B/C/D student in math in high school and only got to Algebra II/Trig (although I did ace Calculus in college). It covers a few quantum topics such as entanglement, teleportation, BB84, algorithms (in general), circuits, and annealing especially well. I learned more about annealing from this book than I had from the other 10 quantum books I have read recently. His circuit coverage from the very basics to how they are used in quantum computation are extraordinarily good. No one else comes close. But many other quantum subjects are not covered as thoroughly or are missing completely. This should not be your first or only book on quantum mechanics and/or computing. Author only barely covers actual quantum computers and only focuses on a few types. I'm better for having read it, but really wished I had the math background (or really interest) to commit myself to understanding it all. And it is really a lot of math.