An illustration of the neural network used to predict the state of an open quantum system. Credit: A. Nagy and A. Anelli (EPFL)
A new computational method, based on neural networks, can simulate open quantum systems with unprecedented versatility. The method was independently developed by physicists at EPFL, France, the UK, and the US, and is published in Physical Review Letters. Even on the scale of everyday life, nature is governed by the laws of quantum physics. These laws explain common phenomena like light, sound, heat, or even the trajectories of balls on a pool table. But when applied to a large number of interacting particles, the laws of quantum physics actually predict a variety of phenomena that defy intuition. In order to study quantum systems made of many particles, physicists must first be able to simulate them. This can be done by solving the equations describing their inner workings on supercomputers.
TO READ THIS ARTICLE, CREATE YOUR ACCOUNT
And extend your reading, free of charge and with no commitment.
