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Quantum Computation and Quantum Information (Cambridge Series on Information and the Natural Sciences) Paperback – 2000

ISBN-13: 978-0521635035 ISBN-10: 0521635039 Edition: 1st

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Product Details

  • Series: Cambridge Series on Information and the Natural Sciences
  • Paperback: 675 pages
  • Publisher: Cambridge University Press; 1 edition (2000)
  • Language: English
  • ISBN-10: 0521635039
  • ISBN-13: 978-0521635035
  • Product Dimensions: 6.8 x 1.6 x 9.7 inches
  • Shipping Weight: 3 pounds
  • Average Customer Review: 4.4 out of 5 stars  See all reviews (33 customer reviews)
  • Amazon Best Sellers Rank: #453,352 in Books (See Top 100 in Books)

Editorial Reviews

Review

"Quantum Computation and Quantum Information is a challenging text that offers a thorough discussion of the relevant physics and a reference book that guides readers to the original literature...Perhaps the best way to use the book, though, is to ask questions and then search within it for answers. Such a self-guided tour can keep one from getting lost in details and can provide a rewarding journey...Nielsen and Chuang have set a high standard." Science

"Michael Nielsen and Issac L. "Ike" Chuang have produced a highly readable, thorough, and timely survey of the field of theoretical quantum information science. [It] is probably destined to become a standard text for reseachers in this still emerging, rapidly developing field.... [It] is very well written and a pleasure to read." /s Physics Today

"highly readable, thorough, and timely survey of the feild of theorectical quantum information science...probably destained to become a standard text for researchers...The authors rightly choose to examine key issues in depth rather than attempt a mile-wide, inch-deep, catholic approach...is very well written and a pleasure to read." Physics Today Nov 2001

Book Description

This text is the first comprehensive introduction to an exciting new cross-disciplinary field which utilizes the strange effects of quantum mechanics to enable information processing and computing feats that would be impossible on traditional 'classical' computers. The authors describe what a quantum computer is, how it can be used to solve problems faster than familiar 'classical' computers, and the real-world implementation of quantum computers. This book will provide an in-depth knowledge of the subject to readers without any background in the field.

Customer Reviews

This book has found its many uses as a reference.
Jacob D. B.
I recommend this book to anyone interested in learning about quantum computation and information, as well as those working in the field.
D.M.
The authors' concise and clear explaination for some idea make the reader easy to enter this field.
mefistofele

Most Helpful Customer Reviews

52 of 53 people found the following review helpful By Jacob D. B. on December 31, 2004
Format: Paperback
This book has found its many uses as a reference. In particular the citations helped me locate key papers that I needed to work toward my research project. If you want to do research in this area than I recommend you add this text to your collection without question, however if you are trying to teach yourself quantum mechanics (like I did) I can suggest several other books that will help you along your quest.

This book lacks worked examples, I recommend the worked problems text: (Problems & Solutions in Quantum Computing & Quantum Information, ISBN: 9812387900) This book also skips over many `simple' concepts as expected for the depth of coverage. The kindest introduction to quantum computing out of the dozen books on my shelf is:
(Approaching Quantum Computing, Dan C. Marinescu, Gabriela M. Marinescu , ISBN: 013145224X).

There are now many texts on the subject of quantum computing, but there is a reason why this text is citied hundreds of times by the top people in this field. For a research project you must get this book, if you are teaching a class it might be wise to mention this book and refer students to another text. I think that the text (Explorations in Quantum Computing, ISBN: 038794768X) is good in the amount of material covered, but does not go into depth on key points -- It could be argued that the Mathematica simulation files more than compensate for this. I have not had a chance to read the Gruska text (Quantum Computing, ISBN: 0077095030) since it is out of print for the time being. I hear a new addition is on its way and I am interested in reading that book.

I would say that this text will remain a classic but the material is not easy for me to grasp. The book is hard, but quantum computing is hard so this is expected.
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20 of 22 people found the following review helpful By Palle E T Jorgensen VINE VOICE on August 12, 2002
Format: Paperback
Classical computation follows the model of A. Turing,-- strings of bits, i.e., 0s and 1s; a mathematical model, now called the Turing mashine. Analogues based instead on two-level quantum systems were suggested in the 1980ties by R.P. Feynman and D. Deutsch. But it wasn't until Peter Shor's qubit-factoring algorithm in the mid 1990ties that the subject really took off, and really caught the attention of the math community. That there is a polynomial factoring algorithm shook the encryption community as well, for obvious reasons. New elements of thinking in the quantum realm, and not part of the classical framework, include superposition of (quantum) states, and (quantum) coherence. This makes a drastic change in the whole theoretical framework when one passes from the classical notion of bit-registers to that of qubit-registers. In passing from logic gates to quantum gates(unitary matrices), the concept of switching networks changes. It introduces new challenges, and new truely exciting opportunities. It is not easy for authors to make everyone happy;-- this is especially so in a new field,--one which has grabbed headlines, and one which is at the same time interdisiplinary. In this case, the authors succeed as well as anyone, I believe.-- This lovely book covers several of the appropriate areas of physics (quantum theory, (some) experiment...), of computer science (the mathematical side of the subject), and of math (operators in Hilbert space, and the theory of algorithms);-- each member of the particular scientific specialty has very definite ideas of his/her own subject,-- and that of the others. Nonetheless, in this readers opinion, the two authors did a great job;-- they explain math to the physics community,-- and they sucessfully teach quantum theory and theoretical CS to mathematicians.Read more ›
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71 of 88 people found the following review helpful By Dr. Julian Miller on October 20, 2001
Format: Paperback
I am actually teaching a course involving Quantum Computing. I am using this book because it is better than other books I have seen. However that still doesn't mean this is a good book!
I have a BSc in Physics and a PhD in mathematics and I work in a Computer Science Department so one would expect that it would be relatively easy to follow this text. However often nothing could be further from the truth! The book appears to be VERY hastily written with certian passages being absolutely impregnable to understanding. The authors often appear to have forgotten to define all their terms, so some arguments are as difficult to decipher as the Rosetta Stone. I give an example: page 226 equation 5.36 they define a unitary transformation U|y> -> |xy(modN)>. They talk about y and its relation to N (I presume that x and N are integers) but NOWHERE do they define what values x can take. So in principle x could be bigger than N. it is easy to demonstrate that some values of x give an operator that is not unitary. This isn't allowed so therefore it implies that x has some restrictions placed upon it. WHAT ARE THOSE RESTRICIONS? WHY DO THE AUTHORS NOT STATE THEM?
The above example is just an illustration of the main fault of the book: Extremely sloppy definitions of many things (or absent definitions). They cultivate an air of rigour but it is all a sham.
Verdict: Be prepared to spend a phenomenal amount of time on this book if you are going to use it for teaching. You will have to fill in many gaps and consult many research papers to make sense of it. BTW: there are no worked examples and exercises that often are incredibly difficult (presumably because the authors have omitted many definitions)
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