MOUNTAIN VIEW, California (CNBC) — Late last year, Google made clear that it wouldn’t be caught on the backfoot again.
The company unveiled a breakthrough quantum computing chip called Willow, which it says can solve a benchmark problem unimaginably faster than what’s possible with a classical computer, and demonstrated that adding more quantum bits to the chip reduced errors exponentially.
“That’s a milestone for the field,” said John Preskill, director of the Caltech Institute for Quantum Information and Matter. “We’ve been wanting to see that for quite a while.”
Willow may now give Google a chance to take the lead in the next technological era. It also could be a way to turn research into a commercial opportunity, especially as AI hits a data wall. Leading AI models are running out of high-quality data to train on after already scraping much of the data on the internet.
“One of the potential applications that you can think of for a quantum computer is generating new and novel data,” said Kelly.
He uses the example of AlphaFold, an AI model developed by Google DeepMind that helps scientists study protein structures. Its creators won the 2024 Nobel Prize in Chemistry.
″[AlphaFold] trains on data that’s informed by quantum mechanics, but that’s actually not that common,” said Kelly. “So a thing that a quantum computer could do is generate data that AI could then be trained on in order to give it a little more information about how quantum mechanics works.”
Kelly has said that he believes Google is only about five years away from a breakout, practical application that can only be solved on a quantum computer. But for Google to win the next big platform shift, it would have to turn a breakthrough into a business.
By JASMINE WU and DEIRDRE BOSA/CNBC
