Quantum information processing is a field of study that is a subclass of information processing. It exploits the laws of quantum mechanics to enable information processing in a manner that offers some advantages over conventional, non-quantum information processing. Quantum information processing has various sub-fields. These include quantum communication, quantum cryptography, quantum computing, and quantum error correction. This book provides a hands-on introduction to quantum information processing using the Python programming language. In this book, you will find step-by-step explanations of essential concepts, practical examples, and self-assessment questions. You will begin by exploring the introductory notions of quantum information, including an overview of the prerequisite mathematical tools. Furthermore, you will learn how to use the Python programming language to implement some of the quantum information processing concepts. Finally, you will learn how to use various Python-based quantum information processing frameworks, such as QuTiP, Qiskit, Cirq, Strawberry Fields, and PennyLane. By the end of this Hands-On Quantum Information Processing with Python book, you will have a deeper understanding and appreciation of the subject of quantum information and how various quantum information processing concepts can be implemented using Python.

Who this book is for:

This book is for software developers, physicists, and mathematicians who are interested in quantum information processing. An understanding of the Python programming language would be beneficial. Furthermore, a basic understanding of mathematics, especially linear algebra, would be beneficial.

Table of Contents

Section 1: 

Fundamentals of Quantum Information Processing 

Chapter 1: Getting Started with Quantum Information Processing 

Chapter 2: Quantum States, Operations, and Measurements 

Section 2: 

Quantum Computers and Quantum Algorithms 

Chapter 3: Entanglement and Quantum Teleportation 

Chapter 4: Working with Quantum Circuits 

Chapter 5: Quantum Algorithms 

Section 3: 

Deep Diving into Quantum Information 

Chapter 6: Non-Local  Quantum Games 

Chapter 7: Quantum Cryptography 

Chapter 8: Quantum Machine Learning 

Chapter 9: Continuous-Variable Quantum Information Processing 

Chapter 10: Current Trends in Quantum Information Processing 

About the Author

Makhamisa Senekane is a lecturer at the National University of Lesotho. He has vast experience in the fields of quantum cryptography, quantum information processing, quantum computing, machine learning, and more.