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'… Although the field of quantum information and computation is evolving rapidly, this book was written just after the basic algorithmic and physical tools of the field had reached a standard form. and so the text contains essentially all of the material that might be covered in a course on quantum information. I used it as a textbook for an introductory course in quantum computation at my institute. At the end of the term, the class was polled on various aspects of the book. The response was uniformly positive … a must-read for the generation of budding quantum-mechanical engineers who will build the technologies of the future.' Seth Lloyd, Nature
'Nielsen and Chuang have set a high standard.' Science
'… almost colloquial … the simple writing style is complemented by an enormous volume of information, both in the wide ranging nature of the subject matter and in the level of technical detail used to describe it.' Dave Donaghy, The Computer Bulletin
'… a highly readable, thorough, and timely survey of the field of theoretical quantum information science … probably destined to become a standard text for researchers in this still emerging, rapidly developing field … there are quite a few books published on quantum information science, none with either the scope or depth of the Nielson-Chuang work … The book is very well written and a pleasure to read.' Daniel V. James, Physics Today
'Nielsen and Chuang have set a high standard.' Science
'… almost colloquial … the simple writing style is complemented by an enormous volume of information, both in the wide ranging nature of the subject matter and in the level of technical detail used to describe it.' Dave Donaghy, The Computer Bulletin
'… a highly readable, thorough, and timely survey of the field of theoretical quantum information science … probably destined to become a standard text for researchers in this still emerging, rapidly developing field … there are quite a few books published on quantum information science, none with either the scope or depth of the Nielson-Chuang work … The book is very well written and a pleasure to read.' Daniel V. James, Physics Today
Über das Produkt
The first introduction to the ideas and techniques of the field of quantum computation and quantum information. Describes what quantum computers and quantum information are, how they can be used to solve problems faster than familiar 'classical' computers, and the real-world implementation of quantum computers.
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Einleitungssatz
What are the fundamental concepts of quantum computation and quantum information? Lesen Sie die erste Seite
Buchdeckel | Copyright | Inhaltsverzeichnis | Auszug | Stichwortverzeichnis | Rückseite
What are the fundamental concepts of quantum computation and quantum information? Lesen Sie die erste Seite
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3 von 3 Kunden fanden die folgende Rezension hilfreich
Format:Gebundene Ausgabe
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. The book is suitable for grad students: has lots of great exercises, but it could perhaps have used some more worked examples. (Fortunately they can be found in other books on quantum computation.) The Nielsen-Chuang book is most certainly a great entry for students into this exciting new subject. There are other books,-- but they, for the most part, take a more narrow view. The material in Nielsen-Chuang is timeless,-- and I expect the book will also be popular ten years from now.
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40 von 41 Kunden fanden die folgende Rezension hilfreich
Great reference text - hard to learn from for the first time
1. Januar 2005
Format:Taschenbuch
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. I could live without the other texts on my shelf, but I need NC. If you do buy this book search for the "Quantum Computing Tutorial by Mark Oskin", an Assistant Professor at the University of Washington. His notes were designed as a guide for his students using the NC text, and they will help you get through some key examples. I downloaded the file: quantum-notes.pdf but it is also free in latex for professors.
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. I could live without the other texts on my shelf, but I need NC. If you do buy this book search for the "Quantum Computing Tutorial by Mark Oskin", an Assistant Professor at the University of Washington. His notes were designed as a guide for his students using the NC text, and they will help you get through some key examples. I downloaded the file: quantum-notes.pdf but it is also free in latex for professors.
18 von 20 Kunden fanden die folgende Rezension hilfreich
Interdisciplinary!
13. August 2002
Format:Taschenbuch
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. The book is suitable for grad students: has lots of great exercises, but it could perhaps have used some more worked examples. (Fortunately they can be found in other books on quantum computation.) The Nielsen-Chuang book is most certainly a great entry for students into this exciting new subject. There are other books,-- but they, for the most part, take a more narrow view. The material in Nielsen-Chuang is timeless,-- and I expect the book will also be popular ten years from now.
60 von 77 Kunden fanden die folgende Rezension hilfreich
Good for reference, poor for teaching,self-study
20. Oktober 2001
Format:Taschenbuch
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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