Chapter 1, Foundations of Quantum Computing Chapter 2, The Tools of the Trade in Quantum Computing Chapter 3, Working with Quadratic Unconstrained Binary Optimization Problems Chapter 4, Adiabatic Quantum Computing and Quantum Annealing Chapter 5, QAOA: Quantum Approximate Optimization Algorithm Chapter 6, GAS: Grover Adaptative Search Chapter 7, VQE: Variational Quantum Eigensolver Chapter 8, What is Quantum machine Learning? Chapter 9, Quantum Support Vector Machines Chapter 10, Quantum Neural Networks Chapter 11, The Best of Both Worlds: Hybrid Architectures Chapter 12, Quantum Generative Adversarial Networks