Table of Contents
Preface
Section 1: Essential Background and Introduction to Quantum Computing
Chapter 1: Essential Mathematics and Algorithmic Thinking
Introducing linear algebra for quantum computing
Vectors and vector spaces
Inner products and norms
Matrices and their operations
The eigenvalues and eigenvectors of an operator
Tensor products
Coordinate systems, complex numbers, and probability
Introducing coordinate systems
Complex numbers and the complex plane
Probability
Defining computational thinking
Decomposition
Pattern recognition
Data representation and abstraction
Introducing computer algorithms
Defining an algorithm
The linear search algorithm
The calculation of the time and space complexity of algorithms
Time and space complexity ...
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