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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

Conclusion

In this chapter, we have covered the use cases that quantum computing and Blockchain could deliver within logistics. This is an industry where there are several inefficiencies due to a lack of digitization. As a result, it could be a green field for technology to create value in.

In the case of quantum computing, the major use cases we touched upon are efficient traffic management systems. We discussed the use of quantum computing when connected cars become more common. With today's infrastructure, traffic management can be achieved using telecoms data/geospatial data.

We also touched upon Airbus' attempts to add efficiencies to the aerospace industry. Flight physics can be modelled more accurately using quantum computing than with classical machines. As a result, aerodynamics around the wings of the aircraft can be modeled and fuel efficiencies can be achieved by optimizing flight take-off and landing. In a world being badly hit by climate change, every...

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