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Chapter 4 Highlighting major issues with quantum computing in healthcare

  • Neeraj Dahiya , Amit Malik , Surjeet Dalal , Vivek Jaglan und Momina Shaheen
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Industrial Quantum Computing
Ein Kapitel aus dem Buch Industrial Quantum Computing

Abstract

The rapid advancement of quantum technology has spurred rivalry between academics and corporations to produce quantum technologies. Quantum computers and annealers can now manage several qubits, according to a recent research. Quantum computing is increasing rapidly and attracting interest. Many are researching and writing about it. Quantum computing does things normal computers cannot. We do not know how it will influence healthcare. This chapter is a decent introduction to quantum computing and healthcare applications. Quantum computing can enhance medical imaging, pharmaceutical safety, and personalization. It can improve patient experience and healthcare system efficiency. This chapter explores these subjects and explains quantum computing in healthcare. We wish to inspire more healthcare researchers to study quantum computing, comprehend the present status of research, discover possibilities, and overcome hurdles to construct improved healthcare systems.

Abstract

The rapid advancement of quantum technology has spurred rivalry between academics and corporations to produce quantum technologies. Quantum computers and annealers can now manage several qubits, according to a recent research. Quantum computing is increasing rapidly and attracting interest. Many are researching and writing about it. Quantum computing does things normal computers cannot. We do not know how it will influence healthcare. This chapter is a decent introduction to quantum computing and healthcare applications. Quantum computing can enhance medical imaging, pharmaceutical safety, and personalization. It can improve patient experience and healthcare system efficiency. This chapter explores these subjects and explains quantum computing in healthcare. We wish to inspire more healthcare researchers to study quantum computing, comprehend the present status of research, discover possibilities, and overcome hurdles to construct improved healthcare systems.

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/10.1515/9783111354842-004

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/10.1515/9783111354842-004/html
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