Published in: LIPIcs, Volume 27, 9th Conference on the Theory of Quantum Computation, Communication and Cryptography (TQC 2014)
Alex Monras and Andreas Winter. Quantum Learning of Classical Stochastic Processes: The Completely-Positive Realization Problem. In 9th Conference on the Theory of Quantum Computation, Communication and Cryptography (TQC 2014). Leibniz International Proceedings in Informatics (LIPIcs), Volume 27, pp. 99-109, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)
@InProceedings{monras_et_al:LIPIcs.TQC.2014.99, author = {Monras, Alex and Winter, Andreas}, title = {{Quantum Learning of Classical Stochastic Processes: The Completely-Positive Realization Problem}}, booktitle = {9th Conference on the Theory of Quantum Computation, Communication and Cryptography (TQC 2014)}, pages = {99--109}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-939897-73-6}, ISSN = {1868-8969}, year = {2014}, volume = {27}, editor = {Flammia, Steven T. and Harrow, Aram W.}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.TQC.2014.99}, URN = {urn:nbn:de:0030-drops-48100}, doi = {10.4230/LIPIcs.TQC.2014.99}, annote = {Keywords: quantum instrument, hidden Markov model, machine learning, quantum measurement} }
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