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

“Quantum computing in and of itself isn’t a panacea for business”

Berenice Baker, Editor, Enter Quantum

April 11, 2023

1 Min Read
QC Ware head of quantum algorithms Iordanis Kerenidis.
QC Ware head of quantum algorithms Iordanis Kerenidis. QC Ware

In this series, Enter Quantum asks industry experts for their insights into what quantum computing adopters should know about the technology.

JPMorgan Chase and QC Ware recently published a study that showed quantum machine learning can train models for “deep hedging” more efficiently than classical computers alone.

As part of a follow-up interview, QC Ware head of quantum algorithms Iordanis Kerenidis offered his insights on how to achieve a competitive advantage.

“Quantum computing in and of itself isn’t a panacea for business—it will need to be harnessed effectively to meaningfully advance innovation in the near term,” said Kerenidis.

“Especially at the dawn of commercially impactful quantum applications, the real competitive advantages will be borne out of the software side of the equation.

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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