- Hardcover: 214 pages
- Publisher: Springer; 2nd ed. edition (8 Dec 2003)
- Language German
- ISBN-10: 3540407049
- ISBN-13: 978-3540407041
- Product Dimensions: 23.9 x 15.8 x 1.8 cm
- Average Customer Review: 4.5 out of 5 stars See all reviews (2 customer reviews)
- Amazon Bestsellers Rank: 1,728,517 in Books (See Top 100 in Books)
- See Complete Table of Contents
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More About the Author
Product Description
Product Description
Mika Hirvensalo maps out the new multidisciplinary research area of quantum computing. The text contains an introduction to quantum computing as well as the most important recent results on the topic. The presentation is uniform and computer science-oriented. Thus, the book differs from most of the previous ones which are mainly physics-oriented. The special style of presentation makes the theory of quantum computing accessible to a larger audience. Many examples and exercises ease the understanding. In this second edition, a new chapter on quantum information has been added and numerous corrections, amendments, and extensions have been incorporated throughout the entire text.
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First Sentence
In connection to computational complexity, it could be stated that the theory of quantum computation was launched in the beginning of the 1980s. Read the first page
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
In connection to computational complexity, it could be stated that the theory of quantum computation was launched in the beginning of the 1980s. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Customer Reviews
Most Helpful Customer Reviews
8 of 8 people found the following review helpful
Format:Hardcover
There is, by now, some variety of textbooks to choose from, covering quantum computing and quantum information;-- the output of research papers has been explosive since Peter Shor discovered his algorithm. Two books stand out as being especially ready for use in the class room, the one by Nielsen-Chuang, and the present one by Hirvensalo. The first covers more ground in physics (theory), and has a bigger selection of exercises;-- the second stresses the math and the CS side of the subject;-- it has more worked examples. It can be readily used in the classroom in a one semester course, and it will go over well with students in both math and in CS. The level is even, and a beginning student can progress in steps, following the text, and doing the exercises.
3 of 3 people found the following review helpful
Format:Hardcover
I found the book of reasonable quality. Giving an accurate but rather short introduction to the 2 main quantum algorithms: quantum fourier transform, grover's search. I would recommend the book to advanced undergraduate readers or beginning graduates with any scientific background. The only required background would be some decent linear algebra and an average standard-university math knowledge.
There is one thing which I think every reader should know before buying the book though. The actual part on quantum algorithms is about 60 pages. The first 40 pages are on computation (interesting for non-CS people) and the last 80 pages are an overview of quantum mechanics and mathematics. (interesting for non-physics people)
There is one thing which I think every reader should know before buying the book though. The actual part on quantum algorithms is about 60 pages. The first 40 pages are on computation (interesting for non-CS people) and the last 80 pages are an overview of quantum mechanics and mathematics. (interesting for non-physics people)
Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com:
3 reviews
22 of 22 people found the following review helpful
For the classrom.
27 July 2002
Format:Hardcover
There is, by now, some variety of textbooks to choose from, covering quantum computing and quantum information;-- the output of research papers has been explosive since Peter Shor discovered his algorithm. Two books stand out as being especially ready for use in the class room, the one by Nielsen-Chuang, and the present one by Hirvensalo. The first covers more ground in physics (theory), and has a bigger selection of exercises;-- the second stresses the math and the CS side of the subject;-- it has more worked examples. It can be readily used in the classroom in a one semester course, and it will go over well with students in both math and in CS. The level is even, and a beginning student can progress in steps, following the text, and doing the exercises.
5 of 5 people found the following review helpful
good Intro to Quantum Computing
8 Jun 2003
Format:Hardcover
This book provides a good intro to Quantum Computing for beginners, plus it gives a clear presentation of the current results to more advanced readers. It does, to put it in the author's words, provides a good bridge between quantum mechanics and the theory of computation. It covers the basics, Turing Machines, some Theory of Computation, Shor's factorization algorithm, Grover's Method, etc.
It also has some helpful appendices for beginners in the end.
Quantum Algorithms are covered fairly well, but as the author himself acknowledges, Qm. Info. theory, Qm. Communication, Qm. error Correcting, Qm. Crypto. etc are not covered.
On the whole, a good read. Highly recommended.
2 of 3 people found the following review helpful
Very impressed
11 Oct 2003
Format:Hardcover
In short: very small book in terms of pages (Under 200), discusses and reviews major Mathematical concepts around Computer Science, Number Theory and Quantum Computing including Shor's Theorom. The author being a Mathematician, seems to be very good at describing these topics in a concise manner. The book briefly introduces material from Theoretical CS (e.g. From Computer Language Theory such as Turing machines etc.) as well as Number theory (Abelian groups etc.) for people who may not have that background.
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