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NTIS 바로가기Science, v.355 no.6325 = no.6325, 2017년, pp.580 - 580
Hush, Michael R.
Machine learning has been used to beat a human competitor in a game of Go (1), a game that has long been viewed as the most challenging of board games for artificial intelligence. Research is now under way to investigate whether machine learning can be used to solve long outstanding problems in quan...
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Krenn, Mario, Malik, Mehul, Fickler, Robert, Lapkiewicz, Radek, Zeilinger, Anton. Automated Search for new Quantum Experiments. Physical review letters, vol.116, no.9, 090405-.
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Mavadia, Sandeep, Frey, Virginia, Sastrawan, Jarrah, Dona, Stephen, Biercuk, Michael J.. Prediction and real-time compensation of qubit decoherence via machine learning. Nature communications, vol.8, 14106-.
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Schollwock, U.. The density-matrix renormalization group in the age of matrix product states. Annals of physics, vol.326, no.1, 96-192.
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