Ebook Free Quantum Computation and Quantum Information (Cambridge Series on Information and the Natural Sciences), by Michael A. Nielsen, Isaac L. Ch
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Ebook Free Quantum Computation and Quantum Information (Cambridge Series on Information and the Natural Sciences), by Michael A. Nielsen, Isaac L. Ch
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In this first comprehensive introduction to the main ideas and techniques of quantum computation and information, Michael Nielsen and Isaac Chuang ask the question: What are the ultimate physical limits to computation and communication? They detail such remarkable effects as fast quantum algorithms, quantum teleportation, quantum cryptography and quantum error correction. A wealth of accompanying figures and exercises illustrate and develop the material in more depth. They 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. Their book concludes with an explanation of how quantum states can be used to perform remarkable feats of communication, and of how it is possible to protect quantum states against the effects of noise.
- Sales Rank: #239163 in Books
- Brand: Brand: Cambridge University Press
- Published on: 2000
- Original language: English
- Number of items: 1
- Dimensions: 9.72" h x 1.57" w x 6.85" l, 2.99 pounds
- Binding: Paperback
- 675 pages
Features
- Used Book in Good Condition
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
About the Author
Dr. Michael Nielsen was born in Brisbane, Australia in 1974, and was educated at the University of Queensland, obtaining postgraduate degrees in mathematics and physics, before being awarded his PhD in physics at the University of New Mexico in 1998. He is currently the Tolman Postdoctoral Fellow and a Fulbright Scholar at the California Institute of Technology
Dr. Isaac Chuang is a native of Louisville, KY. He received his doctorate in electrical engineering from Stanford University in 1997, where he was a Hertz Foundation Fellow, and holds two bachelors degrees and one masters degree in physics and electrical engineering from the Massachusetts Institute of Technology. He serves as a consulting professor at Stanford University. He joined IBM Research in 1998. In November 1999 he was named one of the top 100 young innovators of 1999.
Most helpful customer reviews
10 of 10 people found the following review helpful.
A book that repays study
By Stephen K. Parrott
My first acquaintance with this book came from a copy which I ordered through interlibrary loan after seeing favorable comments on the internet. The loan period was only two weeks, so I wasn't able to study this 600-page book in detail. But I learned quite a bit just by skimming it. After I saw that it was a book that would repay study, I purchased it.
The first chapter of 58 pages nicely introduces many of the important ideas, leaving the more difficult details to later chapters. For example, I learned about quantum teleportation, which I had never understood from popular accounts.
I read it from cover to cover and was able to follow almost all of it in detail. Since I read it as someone learning this material for the first time, I'll review it from a student's perspective. A much longer review discussing technical issues is available on my web site.
Chapter 2 gives a nice summary of basic quantum mechanics. It includes an introduction to necessary concepts from abstract linear algebra, including important specific applications (e.g., the Schmidt decomposition) which are not likely to be covered even in advanced linear algebra courses.
The third chapter gives an introduction to computer science concepts.
This gives a conceptual framework within which to present the ideas of quantum computation. More material is included here than is necessary to understand the rest of the book. Readers may find it efficient to skim this chapter initially and return for more detail when necessary.
The next three chapters present the essentials of quantum circuits, the quantum Fourier transform, and quantum search algorithms. Here there is perhaps room for a little improvement. I thought that important details were sometimes omitted from the exposition, and I occasionally had to go to the original literature to understand the ideas.
Also, there is a bad misuse of the "Big-O" notation throughout these
chapters, startling in a book so generally carefully written. Sophisticated readers will take this in stride, but it might demoralize beginners. For details, see the longer review on my web site.
The mathematics of quantum computation is easy compared to the problems of physically realizing it. Chapter 7 gives an extensive discussion of these problems and various proposals for overcoming them. This concludes the "quantum computation" section of the book, which is a little more than half of the 600-odd pages.
The rest deals with quantum information theory. This is presented in less detail than the quantum computation chapters, and demands more from the reader. A summary of classical information theory is included, with sketches of proofs of important results. I found this very helpful in refreshing my memory of Khinchin's book on information theory, which I read decades ago.
Some of the more complicated proofs are only sketched. I didn't get as much from the quantum information section of the book as from the quantum computation section. I think it gives a useful overview of the field, but if I wanted to learn quantum information in detail, I would look for a book dedicated to this topic, perhaps reading Nielsen/Chuang first as an introduction.
The book concludes with a 12-page introduction to quantum cryptography.
I couldn't follow this section in detail. Perhaps it could be followed with enough work, but I wasn't motivated. I imagine that a proper treatment of cryptography would require many more than 12 pages. Again, if I wanted to learn this material, I would seek an expository text dedicated to it.
In summary, this is an exceptionally fine text which can be read on many levels. The 58-page overview of quantum computation should be comprehensible to anyone familiar with the basic ideas of quantum mechanics. The rest of the book may possibly be readable with great effort by well-prepared undergraduates, but I think a graduate-level
background in quantum mechanics and linear algebra would be more realistic prerequisites, and also more efficient. These prerequites will have to be mastered anyway for anyone who wants to work in a field dependent on quantum theory. Those who lack the prerequisites may still be able to get a feel for the problems of quantum computation and information from the book, even if the details seem too difficult.
Although this is a serious book suitable for obtaining a professional knowledge of its subjects, it is unusually carefully written in an expository style. There are many exercises interspersed with the exposition, but no solutions are provided. Most of them should be solvable on sight by anyone following the presentation, so they provide
a useful check on one's understanding of the material. (I am a professional mathematician; students may find the exercises less easy.)
Each chapter ends with "History and further reading'' sections, often extensive. I found these very helpful.
3 of 5 people found the following review helpful.
Excellent for startup on QC
By Dalibor Hrg
I'm an undergraduate student in Computer Science, doing my Diploma (BS/MS) thesis on Quantum Computing and Algorithms. If you are computer scientist, mathematician or physicist and you want some startup information, this is the book you are looking for. Although, the book doesn't assume that you have appropriate background on mathematics or computer science, it will be good that you have some affiliation with linear algebra, tensor calculus and basic computational complexity concepts. The book is excellent for self study and research, containing many exercises. Another more mathematical book is Classical and Quantum Computing (AMS) by Kitaev, Shen and Vyalyi. It cannot complement the first book but it will give you precise mathematical approach on computational complexity-classical computing (first 50 pages), which is needed to continue and understand concepts of quantum complexity classes and quantum algorithms.
2 of 3 people found the following review helpful.
Complete and didactical
By J. R. Iglesias
It is a book for specialists. In order to fully appreciate the contents you should have a physics, maths or computation science diploma. It contains a good introduction on Quantum mechanics, but for people that have already assited an introductory course on the field. Concerning the main subject: quantum computation, this book is the most complete review of the field and also suitable for a course on QC.
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