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Chapter 2 Quantum computing with machine learning: opportunities and challenges

  • Leena Arya , Yogesh Kumar Sharma , Smitha , Muniraju Naidu Vadlamudi und Umesh Kumar Lilhore
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Industrial Quantum Computing
Ein Kapitel aus dem Buch Industrial Quantum Computing

Abstract

There are a lot of different computer programs that are being made and used in almost every area of life and study. As the number and complexity of problems rise, computers need more power, faster speeds, and better results. Quantum computers, based on ideas from quantum physics, were made to get around these problems. Quantum computers were created because of the need for faster computing. This was possible using quantum bits instead of regular bits, which keep 1 and 0 in a superposition state. This chapter briefly explains quantum computing and the ideas that make it work. This piece also talks about problems and trends with quantum technology. The big effects of quantum machine learning (QML) are also talked about. In this cutting-edge field, QML is getting more attention. This chapter looks at different areas where study into quantum computing is missing and offers possible answers. Recently, details were given about many uses for quantum computing.

Abstract

There are a lot of different computer programs that are being made and used in almost every area of life and study. As the number and complexity of problems rise, computers need more power, faster speeds, and better results. Quantum computers, based on ideas from quantum physics, were made to get around these problems. Quantum computers were created because of the need for faster computing. This was possible using quantum bits instead of regular bits, which keep 1 and 0 in a superposition state. This chapter briefly explains quantum computing and the ideas that make it work. This piece also talks about problems and trends with quantum technology. The big effects of quantum machine learning (QML) are also talked about. In this cutting-edge field, QML is getting more attention. This chapter looks at different areas where study into quantum computing is missing and offers possible answers. Recently, details were given about many uses for quantum computing.

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/10.1515/9783111354842-002

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 3.1.2026 von https://www.degruyterbrill.com/document/doi/10.1515/9783111354842-002/html
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