Artificial intelligence and machine learning for quantum technologies
In recent years the dramatic progress in machine learning has begun to impact many areas
of science and technology significantly. In the present perspective article, we explore how …
of science and technology significantly. In the present perspective article, we explore how …
Intelligent on-demand design of phononic metamaterials
With the growing interest in the field of artificial materials, more advanced and sophisticated
functionalities are required from phononic crystals and acoustic metamaterials. This implies …
functionalities are required from phononic crystals and acoustic metamaterials. This implies …
Modern applications of machine learning in quantum sciences
Replacing neural networks by optimal analytical predictors for the detection of phase transitions
Identifying phase transitions and classifying phases of matter is central to understanding the
properties and behavior of a broad range of material systems. In recent years, machine …
properties and behavior of a broad range of material systems. In recent years, machine …
Unsupervised and supervised learning of interacting topological phases from single-particle correlation functions
The recent advances in machine learning algorithms have boosted the application of these
techniques to the field of condensed matter physics, in order eg to classify the phases of …
techniques to the field of condensed matter physics, in order eg to classify the phases of …