Machine learning for quantum matter

• Published in: Advances in physics: X Vol. 5; no. 1; p. 1797528
• Main Author: Carrasquilla, Juan
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis 01.01.2020; Taylor & Francis Ltd; Taylor & Francis Group
• Subjects: Algorithms; Computer simulation; Condensed matter physics; Machine learning; Materials science; Neural networks; Quantum gravity; Quantum mechanics; Quantum phenomena; Statistical mechanics; Strongly correlated quantum systems

Quantum matter, the research field studying phases of matter whose properties are intrinsically quantum mechanical, draws from areas as diverse as hard condensed matter physics, materials science, statistical mechanics, quantum information, quantum gravity, and large-scale numerical simulations. Rec...