An article “Boosting the Performance of Quantum Annealers using Machine Learning” was published in the journal Quantum Machine Intelligence, the authors of which come from the Department of Knowledge Technologies, Department of Complex Matter, Jožef Stefan International Postgraduate School, Nanocenter and the Faculty of Mathematics and Physics of the University of Ljubljana. The authors address the issue of intrinsic imperfections with a novel error correction approach, based on machine learning methods. The researchers managed to minimize the noise in quantum annealer and thereby improve their performance, opening the way to the utility of quantum devices for solving concrete practical problems.