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The same techniques used to train self-driving cars and chess-playing computers are now helping physicists explore the complexities of the quantum world.

For the first time, physicists have demonstrated that machine learning can reconstruct a quantum system based on relatively few experimental measurements. This method will allow scientists to thoroughly probe systems of particles exponentially faster than conventional, brute-force techniques. Complex systems that would require thousands of years to reconstruct with previous methods could be wholly analyzed in a matter of hours.

The research will benefit the development of quantum computers and other applications of quantum mechanics, the researchers report February 26 in Nature Physics.

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Category: Science