Quantum systems made up of many particles can be elegantly described with a neural network. (Image: iStock.com/naddi)
Quantum systems consisting of many particles are a major challenge for physicists, since their behaviour can be determined only with immense computational power. ETH physicists have now discovered an elegant way to simplify the problem. Classical physics offers a relatively easy approach to describing how objects move in our everyday world. But in the realm of quantum physics, this task is much more challenging. Determining how a quantum particle behaves requires the use of the wave equation devised by Erwin Schrödinger, which is more difficult to solve than classic mechanical equations. Limits of supercomputers. The situation becomes particularly tricky when studying the behaviour of multiple, interacting objects rather than just a single object.
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