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

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...