Learning from imperfect quantum data via unsupervised domain adaptation with classical shadows

Kosuke Ito, Akira Tanji, Hiroshi Yano +2

Learning from quantum data using classical machine learning models has emerged as a promising paradigm toward realizing quantum advantages. Despite extensive analyses on their perf…