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Quantum Computing: A Gentle Introduction (Scientific and Engineering Computation)
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A thorough exposition of quantum computing and the underlying concepts of quantum physics, with explanations of the relevant mathematics and numerous examples.
The combination of two of the twentieth century's most influential and revolutionary scientific theories, information theory and quantum mechanics, gave rise to a radically new view of computing and information. Quantum information processing explores the implications of using quantum mechanics instead of classical mechanics to model information and its processing. Quantum computing is not about changing the physical substrate on which computation is done from classical to quantum but about changing the notion of computation itself, at the most basic level. The fundamental unit of computation is no longer the bit but the quantum bit or qubit.
This comprehensive introduction to the field offers a thorough exposition of quantum computing and the underlying concepts of quantum physics, explaining all the relevant mathematics and offering numerous examples. With its careful development of concepts and thorough explanations, the book makes quantum computing accessible to students and professionals in mathematics, computer science, and engineering. A reader with no prior knowledge of quantum physics (but with sufficient knowledge of linear algebra) will be able to gain a fluent understanding by working through the book.
Product details
Series: Scientific and Engineering Computation
Paperback: 388 pages
Publisher: The MIT Press (August 29, 2014)
Language: English
ISBN-10: 0262526670
ISBN-13: 978-0262526678
Product Dimensions:
6.7 x 0.9 x 8.7 inches
Shipping Weight: 1.3 pounds (View shipping rates and policies)
Average Customer Review:
4.0 out of 5 stars
24 customer reviews
Amazon Best Sellers Rank:
#74,452 in Books (See Top 100 in Books)
I used this book as a companion in my 4th year college nanoelectronics class, and it proved quite useful. The material is presented fairly well and has good examples and exercises. On the whole, it is a reliable introduction to the field; however the book has a few obvious shortcomings as a text, and for that I deduct some stars. Specifically,(1) There is almost no discussion, within the text, of actual experimental work. There is a *mountain* of very interesting work in QC, including even commercial applications. I found myself scrambling to breathe some life into this very theoretical text by mentioning experimental examples. There are some helpful footnotes, but...goodness gracious, why not acknowledge where we actually are in the field, right now?(2) As nice as the exercises are, most answers aren't provided! That's going to prevent a lot of teachers from adopting the book. However, the examples are nice and much appreciated.(3) I found the comparisons to classical computing and other alternatives e.g. adiabatic QC rather lacking. That's a shame because QC research is a lot more than simple theoretical two-state manipulations.On the whole, I didn't find this book as "gentle" for my students as I'd hoped! Without my PhD-level understanding of QM, I honestly would not have caught the most important points, myself. My students were completely lost at sea in several sections. That said, there are so few good texts on QC, this did provide a nice theoretical framework.
I'm a software engineer who has had a life-long interest in physics and have been trying to teach myself quantum mechanics for a couple years. I'm only 50 pages into this book so far, but I'm very impressed with it. The authors not only explain the concepts clearly, but they go out of their way to anticipate the questions and confusion that the student may have, and address them directly. For example, their discussion that neither the magnitude or the overall phase of a quantum state vector are physically significant cleared up some confusion for me. Also, their explicit statement that while an observable is represented as a linear operator, that operator is never used to multiply a state vector confirmed my observation. I would recommend this book to anyone interested in the subject. An understanding of quantum mechanics is not required (although helpful), but a solid background in linear algebra is probably necessary.
This is my first introduction to this subject and I cannot compare it to other books on quantum computers. For a subject this complicated and often counter-intuitive, this book is very readable. It contains enough examples to understand each topic before moving on. There are also a lot of useful warnings about incorrect assumptions that the readers might carry over from vector spaces and linear algebra. The authors seem very in-tune to common misconceptions that the reader might have and they take time to correct them. The authors are not stingy about repeating definitions, facts and expanding notations where it is helpful. Still, don't expect to casually browse through this book unless you already know a lot about the subject. It takes work.
For a gentle introduction it is a bit too comprehensive. A few more physical example would have been helpful early on. Th
This is a good introduction to quantum computing, modulo a few things. I'm a mathematician, and I often found the calculations and concepts explained in a needlessly complicated way. For example, the definition and derivation of the density operator material was very opaque. A density operator is a positive operator with unit trace, so why not say that before getting into rather complicated calculations to illustrate its connections to the quantum state? The formalism invoked really muddied the waters. The same could be said about the material on measurement, and in a few other places. Otherwise, the book is excellent. The exercises are useful, and explanations are well thought out and written. Recommended.
Dense math written as prose instead of example problems or renderings. Formulas are thrown at the reader without providing context or relative importance. A fun as reading a Microsoft terms of Use Agreement.The authors are not good teachers."Quantum Computing for Computer Scientists" by Yanofky and Mannucci is by FAR a better first book.
ok but slow develment for knowlable math or physics types.
Full of information examples and formulas. Not sure I understand the concepts/teachings.
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