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

Big data

The term Big data was coined by Roger Mougalas in 2005, a year after Web 2.0 was coined. Web 2.0 was used to indicate the data era where traditional business intelligence tools were ineffective due to the size of the data they had to deal with. The same year, Yahoo developed Hadoop on Google's MapReduce with an ambition to index the World Wide Web. Hadoop is an open source framework that can handle both structured and unstructured data.

Structured data is identified by well-defined data types, data rules, and controls that they would adhere to. Structured data typically sits in databases where the exact parameters of data are predefined. Oracle, Microsoft SQL Server, and several other database management systems were very focused on dealing with structured data.

Unstructured data does not have the same level of structural discipline, primarily because of the way it is generated. Unstructured data comes in all shapes and forms most of the data that exists...