Machine Learning Phase Transitions with a Quantum Processor

Alexey Uvarov, Andrey Kardashin, Jacob Biamonte

Machine learning has emerged as a promising approach to study the properties of many-body systems. Recently proposed as a tool to classify phases of matter, the approach relies on…