Quantum Computing by Goundar, Sam; Madhavi, K.Reddy; Avanija, J.;

Short description:

The aim of this book is to provide a comprehensive exploration of the recent developments in the field of quantum computing. The book introduces readers to the history, current state, and future prospects of quantum computing. 

Long description:

The aim of this book is to provide a comprehensive exploration of the recent developments in the field of quantum computing. The book introduces readers to the history, current state, and future prospects of quantum computing. It will provide a clear understanding of the challenges it faces in becoming a practical and transformative technology.

Quantum Computing: The Past, the Present, and the Future provides coverage of key areas such as introduction to quantum computers, quantum bits (Qubits), quantum information theory, quantum algorithms and complexity, implementation methods of quantum computing, quantum resistant cryptographic algorithms, quantum machine learning and applications of quantum computing. The book begins by introducing the mathematical foundations and quantum information theory to the readers and includes various techniques such as error detection and error correction. Next, a detailed description of a secure quantum channel-based communication using photons is also presented. The authors also elaborate on various techniques being pursued in realizing qubits and quantum computers including quantum dots, superconducting circuits, electron spins, and quantum wires that enable the physical realization of quantum computers. The book covers how quantum research deals with developing quantum-resistant cryptographic algorithms to secure communication channels and important information. The book closes with the research, development and prospects of quantum computing including the growth of quantum solutions to computationally exponential business problems.

This book presents quantum computing to a broad audience including academics, students, computer scientists, engineers, and mathematicians. It will assist experts and aspiring quantum computing scholars to learn new quantum computing skills and to improve their expertise and applications of the technology.

Table of Contents:

Chapter 1 Evolution of Quantum Computing Chapter 2 Fundamentals of Quantum Computing Chapter 3 Current State of Quantum Computing Chapter 4 A Systematic Literature Review of Quantum Computing Chapter 5 A Framework and Taxonomy for Quantum Computing Chapter 6 Quantum Computing - Real-World Applications and Its Transformative Potential Chapter 7 Quantum Computing - A Journey Through Time Chapter 8 Quantum Computing - Foundations, Principles, and Modern Applications Chapter 9 Evolutionary Algorithms and Quantum Computing - Pioneering the Next Era of Intelligence and Innovation Chapter 10 Journey into Quantum Computing - Cryptographic Security and Learning Algorithms Chapter 11 Next-Gen Quantum Computing - The Fusion of Atoms and Photonic Innovation Chapter 12 Quantum Communication and Secure Channels Chapter 13 Quantum Computing and Teleportation Chapter 14 Analysis of Post-Quantum Cryptography Algorithms Chapter 15 Quantum Computing Paradigms - Bridging Foundational Quantum Mechanics with Contemporary Computational Architectures Chapter 16 Revolutionizing Data Science with Quantum Computing - Principles, Applications and Machine Learning Integration Chapter 17 Advancing AI with Quantum: Quantum Machine Learning Classifiers (QML) and Transfer Learning in Neural Networks Chapter 18 Enhancing Healthcare Data Security Using Quantum Homomorphic Encryption Chapter 19 Quantum Communication Systems for Ensuring Secure 6G Network Infrastructure Chapter 20 Superposition in Quantum Computing - Advancements with Google’s Willow Chip and IBM’s Quantum Systems Chapter 21 Quantum Internet and its Revolutionary Implications for Modern Electronic Devices