biostudies-literatureMelnikov AAAustrian Science Fund FWFEuropean Research Council1221-1226https://www.ebi.ac.uk/biostudies/studies/S-EPMC5819408biostudies-literatureUnknown115(6)How useful can machine learning be in a quantum laboratory? Here we raise the question of the potential of intelligent machines in the context of scientific research. A major motivation for the present work is the unknown reachability of various entanglement classes in quantum experiments. We investigate this question by using the projective simulation model, a physics-oriented approach to artificial intelligence. In our approach, the projective simulation system is challenged to design complex photonic quantum experiments that produce high-dimensional entangled multiphoton states, which are of high interest in modern quantum experiments. The artificial intelligence system learns to create a variety of entangled states and improves the efficiency of their realization. In the process, the sProceedings of the National Academy of Sciences of the United States of AmericaActive learning machine learns to create new quantum experiments.PMC5819408SFB FoQuS F4012W 1259600645DK-ALMSIQS Grant No. 600645 EU-FP7-ICT)W1259-N27Dunjko VTiersch MKrenn MMelnikov AAZeilinger ABriegel HJPoulsen Nautrup HfalseActive learning machine learns to create new quantum experiments.How useful can machine learning be in a quantum laboratory? Here we raise the question of the potential of intelligent machines in the context of scientific research. A major motivation for the present work is the unknown reachability of various entanglement classes in quantum experiments. We investigate this question by using the projective simulation model, a physics-oriented approach to artificial intelligence. In our approach, the projective simulation system is challenged to design complex photonic quantum experiments that produce high-dimensional entangled multiphoton states, which are of high interest in modern quantum experiments. The artificial intelligence system learns to create a variety of entangled states and improves the efficiency of their realization. In the process, the s2018-01-01T00:00:00Z2018 Feb2025-04-19T07:24:39.135Z2019-03-26T23:51:05ZS-EPMC58194082934820010.1073/pnas.1714936115