Book Image

Quantum Computing and Blockchain in Business

By : Arunkumar Krishnakumar
Book Image

Quantum Computing and Blockchain in Business

By: Arunkumar Krishnakumar

Overview of this book

Are quantum computing and Blockchain on a collision course or will they be the most important trends of this decade to disrupt industries and life as we know it? Fintech veteran and venture capitalist Arunkumar Krishnakumar cuts through the hype to bring us a first-hand look into how quantum computing and Blockchain together are redefining industries, including fintech, healthcare, and research. Through a series of interviews with domain experts, he also explores these technologies’ potential to transform national and global governance and policies – from how elections are conducted and how smart cities can be designed and optimized for the environment, to what cyberwarfare enabled by quantum cryptography might look like. In doing so, he also highlights challenges that these technologies have to overcome to go mainstream. Quantum Computing and Blockchain in Business explores the potential changes that quantum computing and Blockchain might bring about in the real world. After expanding on the key concepts and techniques, such as applied cryptography, qubits, and digital annealing, that underpin quantum computing and Blockchain, the book dives into how major industries will be impacted by these technologies. Lastly, we consider how the two technologies may come together in a complimentary way.
Table of Contents (20 chapters)
5
Interview with Dr. Dave Snelling, Fujitsu Fellow
7
Interview with Dr. B. Rajathilagam, Head of AI Research, Amrita Vishwa Vidyapeetham
9
Interview with Max Henderson, Senior Data Scientist, Rigetti and QxBranch
11
Interview with Sam McArdle, Quantum Computing Researcher at the University of Oxford
14
Interview with Dinesh Nagarajan, Partner, IBM
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...