C Randler, S N Kolomeichuk, A V Morozov, D A Petrashova, V V Pozharskaya, A A Martynova, L S Korostovtseva, M V Bochkarev, Y V Sviryaev, M G Polouektov, C Drake
Psychometric properties of the Russian version of the Pediatric Daytime Sleepiness Scale (PDSS)
Heliyon
quantum information technologies one hand intelligent learning systems emergent technologies likely transformative impact society future respective underlying fields basic researchquantum information versus machine learning ml artificial intelligence aihave specific questions challenges hitherto investigated largely independently however growing body recent work researchers probing question extent fields indeed learn benefit quantum ml explores interaction quantum computing ml investigating results techniques one field used solve problems recently witnessed significant breakthroughs directions influence instance quantum computing finding vital application providing speedups ml problems critical big data world conversely ml already permeates many cuttingedge technologies may become instrumental advanced quantum technologies aside quantum speedup data analysis classical ml optimization used quantum experiments quantum enhancements also theoretically demonstrated interactive learning tasks highlighting potential quantumenhanced learning agents finally works exploring use ai design quantum experiments performing parts genuine research autonomously reported first successes beyond topics mutual enhancementexploring mlai quantum physics vice versaresearchers also broached fundamental issue quantum generalizations learning ai concepts deals questions meaning learning intelligence world fully described quantum mechanics review describe main ideas recent developments progress broad spectrum research investigating ml ai quantum domain