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Google Claims Its Quantum Computer Works, Is 100 Million Times Faster Than Regular PC

Google says that a controversial computer it obtained back in 2013 can use quantum physics to solve math way much faster than ordinary computers. They note that the kind of math it cracks is vital to the development of artificial intelligence (AI). Firms for instance Microsoft, IBM, and Google (as well as numerous governments) have been trying to make quantum computers which use quantum mechanics to handle data. It is believed that quantum computers can make AI computers much more dominant. NASA also has great hopes for this kind of technology, as well. Deepak Biswas, director of exploration technology at NASA’s Ames Research Center in Mountain View, California, said “It is a truly disruptive technology that could change how we do everything,”

Google acquired this machine from Canadian startup D-Wave systems and is advertised as “the world’s first profitable quantum computer.” The computer is placed at NASA’s Ames Research Center in Mountain View, California, and uses a superconducting chip called a quantum annealer. Quantum Annealer chip is hard-coded with an algorithm suited to slove “optimization problems.” D-Wave’s chips are controversial amid quantum physicists, mostly because no one has been able to decisively verify that the devices can tap into quantum physics to beat out regular computers. 

But Hartmut Neven, Director of Google’s Quantum AI Lab in Los Angeles, says that his group of researchers now have that proof.

They had the D-Wave computer race against a conventional model with a single processor. Hartmut Neven said “For a specific, carefully crafted proof-of-concept problem we achieve a 100-million-fold speed-up,”

John Giannandrea, Vice President of engineering at Google, said that quantum annealers can find many uses powering up Google’s machine-learning software if only they were more practical.

John Giannandrea said “We’ve already encountered problems in the course of our products impractical to solve with existing computers, and we have a lot of computers. It may be several years before this research makes a difference to Google products.”

Source: MIT Technology Review

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