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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
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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

Traffic management systems

Logistics and transport industries are fundamental to keep the engines on in an industrialized economy. We are in an age where cars are being connected to a network. The network server always has the intelligence of where every single car on that network is at any point in time. Self-driving cars are still a few years away from being mainstream, but connected cars are definitely here.

This is also true about other modes of transport. Public transport is also gradually starting to be driven digitally. China recently announced a driverless train traveling at 350 km per hour from Beijing to Zhangjiakou.

As a result of the digitization of this sector, we have the luxury of data, and the intelligence it can offer. This intelligence can be used to make the transport system more efficient. A simple example is how Tesla manages its network of cars. Tesla cars are essentially computers on wheels. They are connected to a server that knows where each...

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