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Quantum Computing and Blockchain in Business

You're reading from   Quantum Computing and Blockchain in Business Exploring the applications, challenges, and collision of quantum computing and blockchain

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Product type Paperback
Published in Mar 2020
Publisher Packt
ISBN-13 9781838647766
Length 334 pages
Edition 1st Edition
Languages
Concepts
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Author (1):
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Arunkumar Krishnakumar Arunkumar Krishnakumar
Author Profile Icon Arunkumar Krishnakumar
Arunkumar Krishnakumar
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Table of Contents (20) Chapters Close

Preface 1. Introduction to Quantum Computing and Blockchain 2. Quantum Computing – Key Discussion Points FREE CHAPTER 3. The Data Economy 4. The Impact on Financial Services 5. Interview with Dr. Dave Snelling, Fujitsu Fellow 6. The Impact on Healthcare and Pharma 7. Interview with Dr. B. Rajathilagam, Head of AI Research, Amrita Vishwa Vidyapeetham 8. The Impact on Governance 9. Interview with Max Henderson, Senior Data Scientist, Rigetti and QxBranch 10. The Impact on Smart Cities and Environment 11. Interview with Sam McArdle, Quantum Computing Researcher at the University of Oxford 12. The Impact on Chemistry 13. The Impact on Logistics 14. Interview with Dinesh Nagarajan, Partner, IBM 15. Quantum-Safe Blockchain 16. Nation States and Cyberwars 17. Conclusion – Blue Skies 18. Other Books You May Enjoy
19. Index

Quantum computing applications

I have spent the last 10 years of my career heavily involved in risk management and fund management. When I first moved into risk management in 2010 from front-office technology at Barclays Capital, I noticed two key opportunities.

One, risk management was a data-hungry field, and two, technology had not penetrated the field well enough (in comparison to front office). Over the last decade, I have witnessed risk technology across different banks mature into what it is today.

Risk management and reporting in an investment bank involves a lot of data processing. The role of the field is to look at the financial positions that the firm has taken in the market and assess the risks around these. After the recession of 2008, banks were mandated to hold reserve capital that is calculated based on risks associated with a portfolio. The Value-at-Risk (VaR) methodology is used to calculate the worst possible loss a firm could make with a confidence...

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