Quantum approximate Bayesian computation for NMR model inference

Recent technological advances may lead to the development of small-scale quantum computers that are capable of solving problems that cannot be tackled with classical computers. A limited number of algorithms have been proposed and their relevance to real-world problems is a subject of active investi...

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Vydané v:	Nature machine intelligence Ročník 2; číslo 7; s. 396 - 402
Hlavní autori:	Sels, Dries, Dashti, Hesam, Mora, Samia, Demler, Olga, Demler, Eugene
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Nature Publishing Group UK 01.07.2020 Nature Publishing Group
Predmet:	631/45 639/638 639/705 639/766 Algorithms Bayesian analysis Clusters Condensed matter physics Datasets Engineering Experiments Heisenberg theory Hilbert space Machine learning Magnetic fields Medical research Molecular structure NMR spectroscopy Problem solving Quantum computers Quantum computing Spectra Statistical inference Statistical models
ISSN:	2522-5839, 2522-5839
On-line prístup:	Získať plný text
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