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Chapter 9 Quantum computing in machine learning: an overview

  • Shailja und Neha
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Industrial Quantum Computing
Ein Kapitel aus dem Buch Industrial Quantum Computing

Abstract

Quantum technologies is a buzz word spinning around in different fields, from chemistry to computer science and agriculture, and also expanding into the medical field. The term combines computations and concepts of machine learning. Among these, quantum machine learning has gained prominence, particularly in healthcare applications, by using its effective data processing and classification techniques. This field uses the concepts of quantum mechanics, where qubits are used to increase the speed of calculations compared to normal computers. It also uses superposition and entanglement to enhance data processing, providing the capability to perform many calculations at once. The regular enhancement in quantum machines has led to a fierce race in academia, industry, and research. This article covers the basics of quantum computing, quantum machine learning, and their techniques, which provide valuable insights about this emerging technology.

Abstract

Quantum technologies is a buzz word spinning around in different fields, from chemistry to computer science and agriculture, and also expanding into the medical field. The term combines computations and concepts of machine learning. Among these, quantum machine learning has gained prominence, particularly in healthcare applications, by using its effective data processing and classification techniques. This field uses the concepts of quantum mechanics, where qubits are used to increase the speed of calculations compared to normal computers. It also uses superposition and entanglement to enhance data processing, providing the capability to perform many calculations at once. The regular enhancement in quantum machines has led to a fierce race in academia, industry, and research. This article covers the basics of quantum computing, quantum machine learning, and their techniques, which provide valuable insights about this emerging technology.

Kapitel in diesem Buch

  1. Frontmatter I
  2. Contents V
  3. List of contributors VII
  4. Chapter 1 Quantum computing in society: impacts and implications 1
  5. Chapter 2 Quantum computing with machine learning: opportunities and challenges 19
  6. Chapter 3 Quantum machine learning algorithms: a comprehensive review 37
  7. Chapter 4 Highlighting major issues with quantum computing in healthcare 53
  8. Chapter 5 Privacy and security for 6G’s IoT-connected future in the age of quantum computing 67
  9. Chapter 6 Can quantum computers revolutionize health systems? 87
  10. Chapter 7 Industrial automation and quantum computing 105
  11. Chapter 8 Applications of quantum computing in financial planning and financial control 127
  12. Chapter 9 Quantum computing in machine learning: an overview 141
  13. 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
  14. Chapter 11 Quantum computing and machine learning: a symbiotic relationship 177
  15. Chapter 12 Quantum-secured healthcare data and cybersecurity innovations in the era of Industry 5.0 199
  16. Chapter 13 Introduction to quantum computing and its revolution in industry and society 219
  17. Chapter 14 Advancing healthcare through the opportunities and challenges of quantum computing 239
  18. Chapter 15 Quantum computing in drug and chemical 255
  19. Index 279
https://doi.org/10.1515/9783111354842-009

Kapitel in diesem Buch

  1. Frontmatter I
  2. Contents V
  3. List of contributors VII
  4. Chapter 1 Quantum computing in society: impacts and implications 1
  5. Chapter 2 Quantum computing with machine learning: opportunities and challenges 19
  6. Chapter 3 Quantum machine learning algorithms: a comprehensive review 37
  7. Chapter 4 Highlighting major issues with quantum computing in healthcare 53
  8. Chapter 5 Privacy and security for 6G’s IoT-connected future in the age of quantum computing 67
  9. Chapter 6 Can quantum computers revolutionize health systems? 87
  10. Chapter 7 Industrial automation and quantum computing 105
  11. Chapter 8 Applications of quantum computing in financial planning and financial control 127
  12. Chapter 9 Quantum computing in machine learning: an overview 141
  13. 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
  14. Chapter 11 Quantum computing and machine learning: a symbiotic relationship 177
  15. Chapter 12 Quantum-secured healthcare data and cybersecurity innovations in the era of Industry 5.0 199
  16. Chapter 13 Introduction to quantum computing and its revolution in industry and society 219
  17. Chapter 14 Advancing healthcare through the opportunities and challenges of quantum computing 239
  18. Chapter 15 Quantum computing in drug and chemical 255
  19. Index 279
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Heruntergeladen am 29.10.2025 von https://www.degruyterbrill.com/document/doi/10.1515/9783111354842-009/html
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