This book is an introduction to quantum computing from the perspective of a classical programmer. Most concepts are explained with code, based on the insight that much of the complicated-looking math typically found in quantum computing may look quite simple in code. For many programmers, reading code is faster than reading complex math notation. Coding also allows experimentation, which helps with building intuition and understanding of the fundamental mechanisms of quantum computing. This introductory chapter details the methodology used in this book and provides an overview of the major chapters. It suggests two alternative paths through the text, one with a focus on algorithms, the other focusing on infrastructure and simulation.
This book provides an easy-to-read but practical introduction to quantum gate simulation to serious learners of the subject. Fundamental physical concepts and selected programming examples of quantum simulations are described for readers who want to use the simulation with a physical understanding background without the use of rigorous mathematics. This book is intended to offer a self-study book for senior and graduate students of physics, computer science, and mathematics who want to learn and write quantum codes. It may also serve as a textbook or a reference in academia and industry. Readers are expected to have introductory knowledge of linear algebra although it is briefly reviewed in this book. Some experience of computer programming is helpful, but no prior knowledge of Python is required for writing the quantum codes shown in this book. Part of IOP Series in Quantum Technology. Key features • Easy-to-read content for self-paced readers. • Many examples with background physics. • Detailed description of entanglement and teleportation. • Guide to industrial resources. • DIY quantum gate simulations.