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AI designs quantum physics experiments beyond what any human has conceived – News


Quantum physicist Mario Krenn remembers sitting in a café in Vienna in early 2016, poring over laptop printouts, attempting to make sense of what MELVIN had discovered. MELVIN was a machine-learning algorithm Krenn had constructed, a form of synthetic intelligence. Its job was to combine and match the constructing blocks of normal quantum experiments and discover options to new issues. And it did discover many fascinating ones. However there was one which made no sense.

“The very first thing I believed was, ‘My program has a bug, as a result of the answer can not exist,’” Krenn says. MELVIN had seemingly solved the issue of making extremely complicated entangled states involving a number of photons (entangled states being people who as soon as made Albert Einstein invoke the specter of “spooky action at a distance“). Krenn, Anton Zeilinger of the College of Vienna and their colleagues had not explicitly supplied MELVIN the principles wanted to generate such complicated states, but it had discovered a method. Finally, he realized that the algorithm had rediscovered a kind of experimental association that had been devised within the early Nineteen Nineties. However these experiments had been a lot less complicated. MELVIN had cracked a much more complicated puzzle.

AI designs quantum physics experiments past what any human has conceived Source link AI designs quantum physics experiments past what any human has conceived

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