Connects decision-makers and solutions creators to what's next in quantum computing

Video: Capgemini On How To Implement a Quantum ProgramVideo: Capgemini On How To Implement a Quantum Program

Quantum computing can learn from AI programs.

Berenice Baker, Editor, Enter Quantum, co-editor AI Business

July 4, 2022

1 Min Read
Julian van Velzen, CTIO and head of Capgemini's Quantum Lab.Informa

Introducing quantum computing is a big risk and every company should be asking what it needs to do to be quantum ready, according to Julian van Velzen, CTIO and head of Capgemini's Quantum Lab.

Speaking at the Quantum Summit London, van Velzen said that quantum computing programs could learn lessons from successful AI projects that have moved beyond proof of concept. For example, it needs business buy-in.

End-to-end integration must also be considered; quantum is part of the solution in a larger computational workflow. Using a quantum algorithm alone performs only in a narrow case, but smaller proof-of-concept pieces can be stitched together into a roadmap for an application.

About the Author

Berenice Baker

Editor, Enter Quantum, co-editor AI Business, Informa TechTarget

Berenice is the editor of Enter Quantum and co-editor of AI Business. She has over 20 years of experience as a technology journalist, having previously worked at The Engineer and Global Defence Technology.

Before that, she worked as an IT consultant, fuelling her passion for technology and innovation. She graduated with one of the country's first-ever IT degrees so long ago it coincided with Tim Berners-Lee inventing the World Wide Web.

Berenice lives in north London with her cat Huxley. In her spare time, she enjoys going to music gigs, museums and galleries, dabbling in art and playing guitar (badly).

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