Google Quantum Computer Chip Next Step To Skynet?


OK, the headline may be a bit dramatic. The University of California, Santa Barbara is taking part in the development of the Google quantum computer chip which they hope is the next step in computing. The headline above may sound ominous, but there are many people who believe quantum computing could lead to artificial intelligence, which will then become autonomous and take over the world. Then there are those who believe quantum computing could lead to artificial intelligence and help mankind in whole lot of ways. Who’s to say who’s right.

The promise of quantum computers, taking advantage of how atoms can perform memory-processing tasks, is that such computers should be able to deliver incredibly higher processing power and speed versus conventional computers that use silicon-based semiconductor chips.

However, scientists are yet to agree on whether D-Wave’s quantum computer is indeed one, after a recent test showed it did no better than a conventional computer in solving increasingly complex problems.

UC Santa Barbara’s John Martinis, a London Prize winner, and his team will work with Google on the new project. The London Prize recognized his “pioneering advances in quantum control and quantum information processing,” according to the Google post.

“With an integrated hardware group the Quantum AI team will now be able to implement and test new designs” for quantum processors, testing, along the way, new theoretical knowledge in the area, Neven said, adding that the D-Wave machine jointly owned by NASA and Google will be upgraded.

“We will continue to collaborate with D-Wave scientists and to experiment with the ‘Vesuvius’ machine at NASA Ames which will be upgraded to a 1000 qubit ‘Washington’ processor,” he said.

Technology is unstoppable, and the human drive is equally unstoppable. There will always be someone who is driving forward to improve on what we’ve already done (at least I hope there will be). Like anything we shouldn’t stop innovation for fear of what might become. We simply drive innovation and then deal with the challenges as they show themselves. I’m excited to see where this research leads and what can be accomplished. What do you think? Let us know in the comments below or on Google+, Facebook and Twitter.

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Last Updated on November 27, 2018.


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