Quantum artificial intelligence could lead to super-smart machines

Quantum physics has some spooky, anti-intuitive effects, but it could also be essential to how the actual intuition works, at least in regards to artificial intelligence. In a new study, researcher Vedran Dunjko and co-authors applied a quantum analysis to a field within artificial intelligence called reinforcement learning, which deals with how to program a machine to make appropriate choices in order to maximize a cumulative reward. The field is surprisingly complex, and must take into account everything from game theory to information theory. Dunjko and his team found that quantum effects, when applied to reinforcement learning in artificial intelligence systems, could provide quadratic improvements in learning efficiency, reports Phys.org . Exponential improvements might even be possible over short term performance tasks. “This is, to our knowledge, the first work…


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