Chapter 7 Industrial automation and quantum computing
-
Nirdesh Jain
and Sakshi Kathuria
Abstract
Industrial automation, a cornerstone of modern manufacturing, is undergoing a transformative phase with the integration of quantum computing technologies. This paper explores the intersection of industrial automation and quantum computing, examining how quantum computing principles enhance traditional automation paradigms. Quantum computing’s ability to process vast datasets and solve complex optimization problems enables unparalleled advancements in industrial control systems, predictive maintenance, and supply chain management.
Abstract
Industrial automation, a cornerstone of modern manufacturing, is undergoing a transformative phase with the integration of quantum computing technologies. This paper explores the intersection of industrial automation and quantum computing, examining how quantum computing principles enhance traditional automation paradigms. Quantum computing’s ability to process vast datasets and solve complex optimization problems enables unparalleled advancements in industrial control systems, predictive maintenance, and supply chain management.
Chapters in this book
- Frontmatter I
- Contents V
- List of contributors VII
- Chapter 1 Quantum computing in society: impacts and implications 1
- Chapter 2 Quantum computing with machine learning: opportunities and challenges 19
- Chapter 3 Quantum machine learning algorithms: a comprehensive review 37
- Chapter 4 Highlighting major issues with quantum computing in healthcare 53
- Chapter 5 Privacy and security for 6G’s IoT-connected future in the age of quantum computing 67
- Chapter 6 Can quantum computers revolutionize health systems? 87
- Chapter 7 Industrial automation and quantum computing 105
- Chapter 8 Applications of quantum computing in financial planning and financial control 127
- Chapter 9 Quantum computing in machine learning: an overview 141
- Chapter 10 The impact of AI and automation on income inequality in BRICS countries and the role of structural factors and women’s empowerment 155
- Chapter 11 Quantum computing and machine learning: a symbiotic relationship 177
- Chapter 12 Quantum-secured healthcare data and cybersecurity innovations in the era of Industry 5.0 199
- Chapter 13 Introduction to quantum computing and its revolution in industry and society 219
- Chapter 14 Advancing healthcare through the opportunities and challenges of quantum computing 239
- Chapter 15 Quantum computing in drug and chemical 255
- Index 279
Chapters in this book
- Frontmatter I
- Contents V
- List of contributors VII
- Chapter 1 Quantum computing in society: impacts and implications 1
- Chapter 2 Quantum computing with machine learning: opportunities and challenges 19
- Chapter 3 Quantum machine learning algorithms: a comprehensive review 37
- Chapter 4 Highlighting major issues with quantum computing in healthcare 53
- Chapter 5 Privacy and security for 6G’s IoT-connected future in the age of quantum computing 67
- Chapter 6 Can quantum computers revolutionize health systems? 87
- Chapter 7 Industrial automation and quantum computing 105
- Chapter 8 Applications of quantum computing in financial planning and financial control 127
- Chapter 9 Quantum computing in machine learning: an overview 141
- Chapter 10 The impact of AI and automation on income inequality in BRICS countries and the role of structural factors and women’s empowerment 155
- Chapter 11 Quantum computing and machine learning: a symbiotic relationship 177
- Chapter 12 Quantum-secured healthcare data and cybersecurity innovations in the era of Industry 5.0 199
- Chapter 13 Introduction to quantum computing and its revolution in industry and society 219
- Chapter 14 Advancing healthcare through the opportunities and challenges of quantum computing 239
- Chapter 15 Quantum computing in drug and chemical 255
- Index 279