INTRODUCTION TO QUANTUM COMPUTING PAPER

by Phillip Kaye, Raymond Laflamme, Michele Mosca

This concise, accessible text provides a thorough introduction to quantum computing - an exciting emergent field at the interface of the computer, engineering, mathematical and physical sciences. Aimed at advanced undergraduate and beginning graduate students in these disciplines, the text is technically detailed and is clearly illustrated throughout with diagrams and exercises. Some prior knowledge of linear algebra is assumed, including vector spaces and inner products. However, prior familiarity with topics such as tensor products and spectral decomposition is not required, as the necessary material is reviewed in the text.

Genres: Science, Computer Science, Physics, Textbooks, Mathematics, Nonfiction, Technology

274 pages, Paperback

First published November 16, 2006

Reviews

[Nicole Mcloughlin]

Very well explained, basic solutions would be helpful

[Billy Biggs]

Dirac notation is really weird. Those physics guys are craaazy.

[Wendelle]

straightforward and self-contained

[Rupendra Dhillon]

Not an introduction. Not for the beginner. Maybe a summary if you have gone through the material already.

Bad printing for diagrams. Text also does not indicate that there might be a diagram related to it on the next page (So you struggle with a page full of text without any diagrammatic aid, almost give up, turn the page, find a diagram that you think might be related, read the description of the diagram, go back to the last page, start reading again hoping that the diagram describes the content - and it just about kind of does.)

I also found some errors as well but I can discount that given that there might be an errata but I couldn't even open Oxford University Press's webpage on any browser (including Chrome). Hence I could only link it from someone else. (e.g. https://www.coursehero.com/file/23881...)

You can easily spend 4-5 times the time on something simple with this book if you are coming in with no knowledge. Don't start with this book.

A property of a good book is to inspire further learning and that is where I believe this book can shine. I got a sense that the commentary in this book can inspire readers coming back to it after completing other books to go lookup other more advanced topics.

[Anthony O'Connor]

Solid and interesting

Does a solid job at the introductory material but then jumps precipitously into technicalities without sufficient preparation. Like many text books great if you know it already - probably. But hard to learn from. An introduction is supposed to be ...well, an introduction.
The final section on error correction and fault tolerant computing - classical or quantum - was very well done.

[Fabio Parisini]

Libro molto tecnico, non mi aspettavo un testo così accademico ed evidentemente orientato a studenti di corsi sul tema. Argomento interessante, trattato con padronanza, dedica spazio sufficiente all'analisi dell'impatto di computer quantistici per la soluzione di problemi crittografici e NP-completi.

[Pratima Sapkota]

Really confusing to follow and lacks on mathematical settings. Starts directly with certain expressions, continues without showing steps and like magic, proves what it had to prove. Not detailed enough for experts and not clear enough for beginners. Seems like written in pursuit of own understanding for the writers.

[Shozab Qasim]

Very good introduction on quantum computing. Mostly focused on quantum algorithms but it does a brilliant job. I'd recommend it as the first book to start of with quantum computing.

[Chunyang Ding]

Nielsen and Chuang is better. This book is a bit brief on examples and doesn't go far enough in the really interesting stuff.

[Xun F]

I love it on what I understand