An international team of physicists, with the participation of the University of Augsburg, has for the first time confirmed an important theoretical prediction in quantum physics.

The calculations for this are so complex that they have hitherto proved too demanding even for supercomputers.

However, the researchers succeeded in simplifying them considerably using methods from the field of machine learning.

The study improves the understanding of fundamental principles of the quantum world. It has been published in the journal Science Advances.

The calculation of the motion of a single billiard ball is relatively simple.

However, predicting the trajectories of a multitude of gas particles in a vessel which are constantly colliding, being slowed down and deflected, is way more difficult.

But what if it is not even at all clear exactly how fast each particle is moving, so that they would have

countless possible velocities at any given time, differing only in their probability?