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Quantum Computing The Key to Unlocking AI’s Full Potential, Says Expert Claudine Ogilvie

In a recent interview, technology expert Claudine Ogilvie — former CIO at Jetstar and CEO HivePix & ADAPT Advisor — discussed the potential of quantum computing in propelling artificial intelligence (AI) to new heights. As AI models grow increasingly complex, quantum computing emerges as a game-changing solution to manage and process vast datasets with unprecedented efficiency.

Ogilvie explained: “Large language models feeding AI today are getting bigger and bigger and bigger more and more unwieldly. Quantum Computing is going to help us wield that data significantly better and in a more controlled and precise way.”

While classical computers rely on bits, quantum computers utilize qubits, which can exist in multiple states simultaneously. This fundamental difference allows quantum systems to tackle problems that would take classical computers millennia to solve. However, Ogilvie cautions that significant hurdles remain, particularly in scaling quantum technology.

Ogilvie said that cooling the required number of qubits to power a fault-tolerant quantum computer would necessitate a million qubits, highlighting the immense technical challenges ahead.

Despite these obstacles, Ogilvie predicts major breakthroughs within the next five years. The integration of quantum computing and AI is expected to revolutionize fields such as drug discovery, climate modeling, and financial optimization.

“Quantum computing will be able to say we’re 99.9% sure it’s going to be somewhere here and that’ll speed up the process enormously,” Ogilvie explained, referring to the potential for accelerated pharmaceutical development.

As quantum technology matures, Ogilvie sees a future where quantum and classical computing work in tandem.

“It won’t be classical or quantum it’ll be hybrid,” she predicted, suggesting a complementary relationship between the two technologies.

The interview also covered on the potential cybersecurity implications of quantum computing. Ogilvie warned: “Once a quantum computer is big enough it’ll be able to crack Shaw’s algorithm and that underpins all our cybersecurity protocols that protects our data.”

While the future of quantum-enhanced AI holds immense promise, Ogilvie underlined the need for continued research and investment.

Featured image: Credit: ADAPT

James Dargan
About the author
James Dargan

James Dargan is a writer and researcher at The AI Insider. His focus is on the AI startup ecosystem and he writes articles on the space that have a tone accessible to the average reader.

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