Is that a dog or a cat? Such a classification is a prime example of machine learning: artificial neural networks can be trained to analyze images by looking for patterns that are characteristic of specific objects. Provided the system has learned such patterns, it is able to recognize dogs or cats on any picture.
Using the same principle, neural networks can detect changes in tissue on radiological images. Physicists are now using the method to analyze images -- so-called snapshots -- of quantum many-body systems and find out which theory describes the observed phenomena best.
Phenomena - Matter - Physics - Studies - Solids
Several phenomena in condensed matter physics, which studies solids and liquids, remain shrouded in mystery. For example, so far it remains elusive why the electrical resistance of high-temperature superconductors drops to zero at temperatures of about -200 degrees Celsius.
Understanding such extraordinary states of matter is challenging: quantum simulators based on ultracold Lithium atoms have been developed to study the physics of high-temperature superconductors. They take snapshots of the quantum system, which exists simultaneously in different configurations -- physicists speak of a superposition. Each snapshot of the quantum system gives one specific configuration according to its quantum mechanical probability.
Order - Systems - Models
In order to understand such quantum systems, various theoretical models...
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