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

Video: Capgemini On How To Implement a Quantum Program

Quantum computing can learn from AI programs.

Berenice Baker, Editor, Enter Quantum

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(s)

Berenice Baker

Editor, Enter Quantum

Berenice is the editor of Enter Quantum, the companion website and exclusive content outlet for The Quantum Computing Summit. Enter Quantum informs quantum computing decision-makers and solutions creators with timely information, business applications and best practice to enable them to adopt the most effective quantum computing solution for their businesses. Berenice has a background in IT and 16 years’ experience as a technology journalist.

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