Reviews
of

*Quantum
Computing for Computer Scientists*

by

Noson
S. Yanofsky and Mirco A. Mannucci

“This is an exceptionally well
written and accessible textbook on quantum computing. While there are a few outstanding
graduate textbooks on the topic, this one has the unique feature of being
accessible to typical CS undergraduates.
Indeed, I would guess that a bright and motivated high-school student
would go far with this book. It
starts with the complex numbers and equips the reader with a basic knowledge of
quantum mechanics formulated on finite dimensional vector spaces: just what the
reader needs to get to quantum computation and quantum information theory. Armed with this the reader is led on a
tour of diverse topics. The standard fare of quantum algorithms is present but
there are also chapters on programming languages, cryptography and information
theory. The authors have written this with great pedagogical skill. Readers
will feel that they are having a conversation with the authors which makes it a
great book for self-study.”

Prakash
Panangaden, Professor,

“The usual computer science
curriculum leaves students ill prepared for the strange looking-glass world of
quantum information theory. This
book gently eases computer scientists into the hybrid framework of continuous
qubits and discrete measurements from the ground up, covering all the essential
mathematical prerequisites before diving into everything quantum: from
algorithms and programming languages to protocols and hardware.”

Department
of Computer Science,

“There are now a fairly large
number of texts on quantum computing. But this one differs from all those
I have seen in that it is explicitly written for undergraduates with a very
limited knowledge of physics or math, but some minimal training in classical
computing. As such the book is extremely user friendly, and has many
exercises to explain the material, some in the form of programs the student can
write to explore many sides of a given problem, almost like playing computer
games. More complicated topics are illustrated by examples, rather than
complicated formal proofs. There is a good list of references for further
reading on individual topics, and suggested topics for projects. The book
is clearly geared to the student of limited background who wants to learn about
quantum computing without waiting to become an expert in classical computing.
For this audience the book has no peers and is highly recommended."

Daniel Greenberger, Professor

Department
of Physics,

Managing
Editor, International Journal of
Quantum Information

“The book has the potential to
fill a void that needs to be filled: to bring the excitement of quantum
computing to undergraduate computing majors, especially those with modest math
backgrounds.”

Stephen
Fenner, Associate Professor,

Department
of Computer Science and Engineering,

The