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