Friday, 5 September 2014
Google said it is working on a super-fast "quantum" computer chip as part a vision to one day have machines think like humans. The Internet titan on Tuesday added renowned researcher John Martinis and his team at the University of California, Santa Barbara, to the Quantum Artificial Intelligence team at Google, according to director of engineering Hartmut Neven.
The
new hires are part of a "hardware initiative" to design and build chips
operating on sub-atomic levels in ways making them exponentially faster
than processors currently used in computers,
"With
an integrated hardware group the Quantum AI team will now be able to
implement and test new designs," Neven said of the quest for a
transformative new chip.
Google said a research team led by physicist John Martinis from the University of California Santa Barbara will join the company to start a project to build new quantum information processors based on superconducting electronics.
The Quantum Artificial Intelligence Lab is a collaboration between Google, NASA Ames Research Center and the Universities Space Research Association (USRA) to study the application of quantum optimization related to artificial intelligence.
"With an integrated hardware group, the Quantum AI team will now be able to implement and test new designs for quantum optimization and inference processors based on recent theoretical insights as well as our learnings from the D-Wave quantum annealing architecture," Google's director of engineering, Hartmut Neven, said on its research blog.
The Quantum Artificial Intelligence Lab is a collaboration between Google, NASA Ames Research Center and the Universities Space Research Association (USRA) to study the application of quantum optimization related to artificial intelligence.
"With an integrated hardware group, the Quantum AI team will now be able to implement and test new designs for quantum optimization and inference processors based on recent theoretical insights as well as our learnings from the D-Wave quantum annealing architecture," Google's director of engineering, Hartmut Neven, said on its research blog.
