The book is a student-friendly introduction to learning the basics of superposition, matrix operations, quantum gates, sets, functions, vector space, subspace, linear independence transformation inspired by Euclid, complex numbers, Eigenvectors, Tensor products, etc. The last chapter introduces advanced topics such as Gram-Schmidt, Spectral decomposition, Singular value decomposition, Polar decomposition, etc. Each chapter of the book contains exercise questions with solutions. The mathematical concepts are explained in a beginner-friendly manner, and anyone can understand them.<br>The drawbacks include the size of figures 1.6, 1.7, 1.8, 5.12, 5.13, etc., being too large and occupying almost complete pages, which wastes resources. In appendix 2 the summation symbol on page 202 occupies one entire page. To understand the practical implementation of quantum algorithms, I would recommend other Packt books written by Robert Loredo and Robert S. Sutor.