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Chapter 1 Quantum computing in society: impacts and implications

  • Yogesh Kumar Sharma , Manoj Wadhwa , Masira M. S. Kulkarni and Pranita Haridas Mokal
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Industrial Quantum Computing
This chapter is in the book Industrial Quantum Computing

Abstract

Recently, there has been a lot of interest in and funding for quantum computing in the academic and business communities. The “new race to the moon” is no greater task than constructing a workable quantum computer. Since this technology can crack many encryption methods used today, it is of great interest to national authorities, academics, and sellers of future computer technologies. If this technology were to mature, it may have far-reaching and disruptive consequences for our society. However, it is quite probable that many areas of computing will benefit from quantum computing. This chapter lays out our plans for how software-programmable quantum computers might revolutionize scientific computing in the future. This leads us to believe that quantum computers, similar to graphics processing units and coprocessor cards, will be integrated into hybrid-accelerated computing platforms shortly. Specifically, we discuss how quantum algorithms may revolutionize the field of applied mathematics. Lastly, we illustrate the potential societal effect of quantum-accelerated computational science with many cases.

Abstract

Recently, there has been a lot of interest in and funding for quantum computing in the academic and business communities. The “new race to the moon” is no greater task than constructing a workable quantum computer. Since this technology can crack many encryption methods used today, it is of great interest to national authorities, academics, and sellers of future computer technologies. If this technology were to mature, it may have far-reaching and disruptive consequences for our society. However, it is quite probable that many areas of computing will benefit from quantum computing. This chapter lays out our plans for how software-programmable quantum computers might revolutionize scientific computing in the future. This leads us to believe that quantum computers, similar to graphics processing units and coprocessor cards, will be integrated into hybrid-accelerated computing platforms shortly. Specifically, we discuss how quantum algorithms may revolutionize the field of applied mathematics. Lastly, we illustrate the potential societal effect of quantum-accelerated computational science with many cases.

Chapters in this book

  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/10.1515/9783111354842-001

Chapters in this book

  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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