Introduction to Quantum Computing and Algorithms

A useful guide. The examples assume a particular environment, but that is fixable.

This is the third book I have read on quantum computing this year, and it is comfortably the best of them. The balance between theory and practice is well judged; neither side dominates. The index and cross-references are surprisingly good, which matters for a book I will come back to. The writing is direct and does not waste space on filler, which I value in a technical book. Good value for the price and worth the time it takes to work through properly.

A useful guide. The examples assume a particular environment, but that is fixable.

There is a particular kind of technical book that is dense without being difficult, and this is one of them. The explanations are careful without being condescending, which is a difficult balance to strike. The author avoids over-explaining, which keeps the pace up but means you need to pay attention. Worth picking up if you already have the basics. Set realistic expectations and you will get a lot out of it.

An enjoyable and informative read, though it could have been shorter.

I picked this up after getting stuck on a project and it turned out to be exactly the right book at the right time. The examples are small enough to type out and experiment with, which is exactly what I want from a book like this. The chapters on quantum computing are the strongest — the examples are stripped down but complete, and I could follow along without constant guessing. A good addition to a technical library, as long as you know what you are buying.