Industrial Quantum Computing: Algorithms, Blockchains, Industry 4.0

Contents
List of contributors
Chapter 1 Quantum computing in society: impacts and implications
Chapter 2 Quantum computing with machine learning: opportunities and challenges
Chapter 3 Quantum machine learning algorithms: a comprehensive review
Chapter 4 Highlighting major issues with quantum computing in healthcare
Chapter 5 Privacy and security for 6G’s IoT-connected future in the age of quantum computing
Chapter 6 Can quantum computers revolutionize health systems?
Chapter 7 Industrial automation and quantum computing
Chapter 8 Applications of quantum computing in financial planning and financial control
Chapter 9 Quantum computing in machine learning: an overview
Chapter 10 The impact of AI and automation on income inequality in BRICS countries and the role of structural factors and women’s empowerment
Chapter 11 Quantum computing and machine learning: a symbiotic relationship
Chapter 12 Quantum-secured healthcare data and cybersecurity innovations in the era of Industry 5.0
Chapter 13 Introduction to quantum computing and its revolution in industry and society
Chapter 14 Advancing healthcare through the opportunities and challenges of quantum computing
Chapter 15 Quantum computing in drug and chemical
Index