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CRC Press – Quantum Computing: The Past the Present and the Future 2026

Updated August 10, 2026 11.2 MB
CRC Press – Quantum Computing: The Past the Present and the Future 2026

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Description

Quantum Computing: The Past, the Present, and the Future is a comprehensive review of one of the most revolutionary technologies of the century, quantum computing. The authors take a look at the historical roots and foundations of classical physics, gradually introducing the reader to the fascinating world of quantum physics and its governing principles. The book not only explains theoretical concepts such as superposition and entanglement, but also discusses the physical implementation of qubits and current engineering challenges.

A significant part of the book is devoted to the future of this technology and its impact on cybersecurity and cryptographic algorithms. The authors explain how quantum computers can process complex problems that are insoluble for the most powerful current supercomputers in a short time. In scientific but understandable language, this work provides a clear vision of the role of quantum computing in solving future commercial and scientific problems.

Book Features

  • A detailed explanation of the three principles of quantum computing: superposition, measurement, and entanglement.
  • Exploring different methods of making qubits, including quantum dots and superconducting circuits.
  • Teaching quantum-based algorithms such as the “Shor” algorithm for parsing large numbers.
  • Analyzing the effects of quantum on the world of cryptography and introducing quantum-resistant algorithms.
  • Exploring real-world applications in materials science, chemistry, biology, and artificial intelligence.
  • Providing modern frameworks and taxonomies for classifying knowledge in this field.

Book specifications

  • Publisher: CRC Press
  • Instructor: Sam Goundar
  • Number of pages: 591
  • Number of chapters: 21
  • Format: PDF

Headlines

Chapter 1: Quantum Computing – A Journey Through Time

Chapter 2: Evolution of Quantum Computing

Chapter 3: Fundamentals of Quantum Computing

Chapter 4: Quantum Computing Paradigms – Bridging Foundational Quantum Mechanics with Contemporary Computational Architectures

Chapter 5: Superposition in Quantum Computing – Advances with Google’s Willow Chip and IBM’s Quantum Systems

Chapter 6: Current State of Quantum Computing

Chapter 7: A Systematic Literature Review of Quantum Computing

Chapter 8: A Framework and Taxonomy for Quantum Computing

Chapter 9: Quantum Computing – Foundations, Principles, and Modern Applications

Chapter 10: Next-Gen Quantum Computing – The Fusion of Atoms and Photonic Innovation

Chapter 11: Quantum Computing – Real-World Applications and Its Transformative Potential

Chapter 12: Quantum Communication and Secure Channels

Chapter 13: Quantum Computing and Teleportation

Chapter 14: Quantum Internet and its Revolutionary Implications for Modern Electronic Devices

Chapter 15: Quantum Communication Systems for Ensuring Secure 6G Network Infrastructure

Chapter 16: Analysis of Post-Quantum Cryptography Algorithms

Chapter 17: Journey into Quantum Computing – Cryptographic Security and Learning Algorithms

Chapter 18: Enhancing Healthcare Data Security Using Quantum Homomorphic Encryption

Chapter 19: Revolutionizing Data Science with Quantum Computing – Principles, Applications and Machine Learning Integration

Chapter 20: Advancing AI with Quantum: Quantum Machine Learning Classifiers (QML) and Transfer Learning in Neural Networks

Chapter 21: Evolutionary Algorithms and Quantum Computing – Pioneering the Next Era of Intelligence and Innovation

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Quantum Computing: The Past, the Present and the Future

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What is included

  • A detailed explanation of the three principles of quantum computing: superposition, measurement, and entanglement.
  • Exploring different methods of making qubits, including quantum dots and superconducting circuits.
  • Teaching quantum-based algorithms such as the “Shor” algorithm for parsing large numbers.
  • Analyzing the effects of quantum on the world of cryptography and introducing quantum-resistant algorithms.
  • Exploring real-world applications in materials science, chemistry, biology, and artificial intelligence.
  • Providing modern frameworks and taxonomies for classifying knowledge in this field.