Principles and Applications of Quantum Computing Using Essential Math

✍ Scribed by A. Daniel, M. Arvindhan, Kiranmai Bellam, N. Krishnaraj

• Publisher: IGI Global
• Year: 2023
• Tongue: English
• Leaves: 252
• Edition: 1
• Category: Library

✦ Synopsis

In the swiftly evolving realm of technology, the challenge of classical computing's constraints in handling intricate problems has become pronounced. While classical computers excel in many areas, they struggle with complex issues in cryptography, optimization, and molecular simulation. Addressing these escalating challenges requires a disruptive solution to push the boundaries of computation and innovation.

Principles and Applications of Quantum Computing Using Essential Math, authored by A. Daniel, M. Arvindhan, Kiranmai Bellam, and N. Krishnaraj. This guide pioneers the transformative potential of quantum computing by seamlessly blending rigorous mathematics with quantum theory. It equips scholars, researchers, and aspiring technologists with insights to grasp and harness quantum computing's capabilities. By delving into quantum gates, algorithms, and error correction techniques, the book demystifies quantum computing, inviting exploration of quantum machine learning, cryptography, and the dynamic interplay between classical and quantum computing. As the quantum landscape expands, this book acts as a vital companion, navigating readers through the converging realms of industry, academia, and innovation. Principles and Applications of Quantum Computing Using Essential Math arrives as a timely answer to the limitations of classical computing, providing scholars with an essential roadmap to navigate the quantum technology landscape. With its clear explanations, practical applications, and forward-looking perspectives, this book serves as an indispensable tool for unraveling quantum computing's mysteries and driving innovation into uncharted domains.

✦ Table of Contents

Cover
Title Page
Copyright Page
Book Series
Table of Contents
Detailed Table of Contents
Preface
Chapter 1: Quantum Metrology
Chapter 2: Exploring Models, Training Methods, and Quantum Supremacy in Machine Learning and Quantum Computing
Chapter 3: Spintronics System
Chapter 4: Electronic and Optical Properties of Quantum Nano-Structures
Chapter 5: Quantum Engineering
Chapter 6: An Analysis of Quantum Computing Spanning IoT and Image Processing
Chapter 7: Quantum-Enabled Machine Learning With a Challenge in Clothing Classification With a QSVM Approach
Chapter 8: Quantum Machine Learning Enhancing AI With Quantum Computing
Chapter 9: An Enhanced Study of Quantum Computing in the View of Machine Learning
Compilation of References
Related References
About the Contributors
Index