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

Product type Paperback

Published in Mar 2020

Publisher Packt

ISBN-13 9781838647766

Length 334 pages

Edition 1st Edition

Languages

Python

Tools

Blockchain

Concepts

Blockchain

Author (1):

Arunkumar Krishnakumar

View More author details

Table of Contents (20) Chapters

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

Conclusion

8. The Impact on Governance

9. Interview with Max Henderson, Senior Data Scientist, Rigetti and QxBranch

Conclusion

10. The Impact on Smart Cities and Environment

11. Interview with Sam McArdle, Quantum Computing Researcher at the University of Oxford

Conclusion

12. The Impact on Chemistry

13. The Impact on Logistics

14. Interview with Dinesh Nagarajan, Partner, IBM

Conclusion

15. Quantum-Safe Blockchain

16. Nation States and Cyberwars

17. Conclusion – Blue Skies

18. Other Books You May Enjoy

19. Index

Smart cities

Smart city initiatives across the world involve using data-capturing devices across a city to offer contextual and optimal services to the people in the city. The smart city market is expected to be anywhere from $700 billion to $2.4 trillion by 2025. It is hard to get to the right figure, but it is a huge global market across the developed world and emerging economies.

There are several smart city use cases that involve Blockchain and quantum machine learning. Some of the areas we'll touch upon in this chapter are:

Parking
Traffic management
City planning
Trash collection

Smart parking

Typically, in smart city projects, we see governments working closely with the private sector to deliver results. For example, an initiative within the UK aims at making parking cars more efficient. The process involves getting vehicle data and parking slot availability in real time. While there are several apps to hold parking data, the data standards...