A remarkably large part of quantum algorithms and quantum computing can be described with just the knowledge of multiplying matrices with complex number entries. Lipton and Regan have done a great job presenting all the major quantum algorithms from this easy and accessible point of view. Anyone interested in quantum computing would gain much from this presentation.

Noson S. Yanofsky Professor, Department of Computer and Information Sciences, Brooklyn College; coauthor of Quantum Computing for Computer Scientists

This book gives an excellent, rigorous introduction to quantum computing, using only the mathematical background normal for an undergraduate computer science major. Students often ask me how they can get started toward understanding this field, and I can now point them to this book. I will certainly recommend it to all the students in my undergraduate theory of computation class.

David Mix Barrington School of Computer Science, University of Massachusetts Amherst

Quantum Algorithms via Linear Algebra provides a great alternative introduction to the fascinating area of quantum computing. While traditional treatments are rooted in quantum mechanics, this quantum way of thinking could be a barrier for entry into this area. This book strips out the 'quantum-ness' from some famous algorithms and keeps it about elementary linear algebra, thus opening up quantum computing to a larger audience.

Nisheeth Vishnoi École Polytechnique Fédérale de Lausanne

Quantum Algorithms via Linear Algebra is a marvelous and self-contained account of the algorithms that 'made' quantum computing, presented in a clear and conversational style that is a delight to read. It succeeds in giving a mathematically precise, and complete, exposition that invokes only elementary linear algebra. This style of presentation strips away unnecessary notation and abstraction and brings the beautiful ideas underlying these algorithms into a sharp focus.

Chris Umans Professor of Computer Science, Caltech