Extract

In the recent times, there has been a growing spectrum and a number of books on quantum computing (QC). Several of these books assume certain knowledge of some basic background in quantum mechanics, computing and information theory as well as a good understanding of several algebraic, calculus and algorithmic methods. Although this book assumes that the reader is neither deeply involved in QC nor is an expert in genetic programming (GP), a good understanding of this book requires a certain level of previous exposure to both QC and GP.

A book that aims to use GP for solving interesting problems in the QC domain in a balanced treatment is welcome indeed. The author has presented interesting results as an outcome of using GP genetic search method in the QC space but tried as much to cover the basics at the same time. Although anyone expecting this book to cover in some depth most of the QC and GP topics will be disappointed, the author focuses on providing a good exposure on which the interested readers can build and understand. It is probably worth mentioning at this point that the readers of this book can range from last year undergraduate students to researchers who have some prior knowledge in QC and GP; at this level the book is good.

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