RIKEN Research: The link between fuzzy images and quantum fields

Mathematical solutions to thorny quantum problems can be found more quickly by exploiting the correspondence between the statistical methods used in deep learning and techniques for implementing quantum simulations, a team led by a RIKEN researcher has shown.
One of the most successful theories in modern physics, quantum field theory is physicists’ attempt to combine three theories—classical field physics, Einstein’s special relativity and quantum mechanics—into a single mathematical model.
It has been successful in solving problems in particle physics and condensed-matter physics, but these calculations are computationally intensive and require a lot of computer power.

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