Machine learning on quantum experimental data toward solving quantum many-body problems
Abstract Advancements in the implementation of quantum hardware have enabled the acquisition of data that are intractable for emulation with classical computers.The integration of classical machine learning (ML) algorithms with these data holds potential for unveiling obscure patterns.Although this hybrid approach extends the class of efficiently s