Shadows of quantum machine learning

Abstract Quantum machine learning is often highlighted as one of the most promising practical applications for which quantum computers could provide a computational advantage. However, a major obstacle to the widespread use of quantum machine learning models in practice is that these models, even on...

詳細記述

書誌詳細
主要な著者: Sofiene Jerbi, Casper Gyurik, Simon C. Marshall, Riccardo Molteni, Vedran Dunjko
フォーマット: 論文
言語:English
出版事項: Nature Portfolio 2024-07-01
シリーズ:Nature Communications
オンライン・アクセス:https://doi.org/10.1038/s41467-024-49877-8