An Introduction to Quantum Computing Algorithms by Arthur O. Pittenger (PDF)

Description

In 1994 Peter Shor [65] published a factoring algorithm for a quantum computer that finds the prime factors of a composite integer N more efficiently than is possible with the known algorithms for a classical com­ puter. Since the difficulty of the factoring problem is crucial for the se­ curity of a public key encryption system, interest (and funding) in quan­ tum computing and quantum computation suddenly blossomed. Quan­ tum computing had arrived. The study of the role of quantum mechanics in the theory of computa­ tion seems to have begun in the early 1980s with the publications of Paul Benioff [6]’ [7] who considered a quantum mechanical model of computers and the computation process. A related question was discussed shortly thereafter by Richard Feynman [35] who began from a different perspec­ tive by asking what kind of computer should be used to simulate physics. His analysis led him to the belief that with a suitable class of “quantum machines” one could imitate any quantum system.

User’s Reviews

Editorial Reviews: Review “Pittenger’s book, as the title suggests, explains the mathematics at the basis of quantum computing and the fundamental algorithms, including Shor’s factoring, Grover’s search and error correction algorithms…. Since quantum computing is a highly interdisciplinary science, the author has tried to capture the attention of a large variety of readers and he has mostly achieved this objective. The book can be used as a formal introductory text for graduate students as well as a fascinating, but still engaging resource for interested readers who are comfortable with linear algebra…. Pittenger helps the reader into focusing attention on the algorithmic aspects rather than the formal content and uses examples as [an] integral part of the book, illustrating the substantial meaning of quantum theory applied to computing. He also proposes some exercises to stimulate an insightful reading…. The bibliography is complete and the interested reader can improve the understanding of the book and of the entire matter by following the numerous references, acquiring in this way more tools for the comprehension of a subject of such complexity….” ―SIGACT News”An Introduction to Quantum Computing Algorithms reflects its author’s own experience in learning the mathematics and theoretical physics required for the subject, as he writes in the acknowledgements. It is generally written in a pleasant and informal style, with much motivation in between the mathematics…. In just 150 pages this book manages to explain much of the core of quantum computing, and to explain it well.” ―Quantum Information and Computation (QIC)”If you have a general (fuzzy) background on quantum physics and on computer science, I recommend reading this book…. It is well written, easy to read, with many illustrating examples, and many exercises.” ―Zentralblatt Math

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐Good

⭐A handful of good introductions to ideas in quantum computing have appeared in the past two years. The present one stands out in being both friendly and brief. There is no way into the subject, getting around the fundamentals in quantum physics and in math. Through this little book, an uninitiated reader can get some insight into the ideas of Deutsch-Jozsa, and the algorithms of Peter Shor and Lov Grover. The author does his job, as well as any, and the book is pleasant reading.

⭐who don’t have a strong background in Physics. The first “basic” example is a particle spin interaction that displays quantum entanglement. Well, maybe that’s easy for a physics major, but a math and computer science major will be totally clueless! It assumes too much quantum physics for non-physics people, myself included. Quantum Computing by Mika Hirvensalo is a much better starting point for these who have traditional background in math and computer science. Also, if you want to build a good intuition about quantum systems before doing algorithms, QED by Richard Feynman would be a good reading for the same audience.

⭐Great intro

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