Startseite Mathematik Chapter 13 Introduction to quantum computing and its revolution in industry and society
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Chapter 13 Introduction to quantum computing and its revolution in industry and society

  • Sarita , Riya Sapra und Yogita Yashveer Raghav
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Industrial Quantum Computing
Ein Kapitel aus dem Buch Industrial Quantum Computing

Abstract

Quantum computing is nowadays a very popular topic in terms of technology, enabling individuals to solve various types of computational problems. Quantum computing is a multidisciplinary area consisting of Information Technology, mathematics, and physics that uses quantum theory/mechanism. Classical computer systems use the binary number system (0 or 1), whereas quantum computers use quantum bits that represent both 0 and 1 together. Quantum computing is used in solving optimization problems. Quantum computing improves machine learning algorithms by efficiently analyzing complex data. Quantum computers can improve AI models by training them quickly. Quantum computing has an impact in the sectors of healthcare, finance, security, etc., and each has its own applications.

Abstract

Quantum computing is nowadays a very popular topic in terms of technology, enabling individuals to solve various types of computational problems. Quantum computing is a multidisciplinary area consisting of Information Technology, mathematics, and physics that uses quantum theory/mechanism. Classical computer systems use the binary number system (0 or 1), whereas quantum computers use quantum bits that represent both 0 and 1 together. Quantum computing is used in solving optimization problems. Quantum computing improves machine learning algorithms by efficiently analyzing complex data. Quantum computers can improve AI models by training them quickly. Quantum computing has an impact in the sectors of healthcare, finance, security, etc., and each has its own applications.

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/10.1515/9783111354842-013

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/10.1515/9783111354842-013/html
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