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@InProceedings{chia_et_al:LIPIcs:2020:13391, author = {Nai-Hui Chia and Andr{\'a}s Gily{\'e}n and Han-Hsuan Lin and Seth Lloyd and Ewin Tang and Chunhao Wang}, title = {{Quantum-Inspired Algorithms for Solving Low-Rank Linear Equation Systems with Logarithmic Dependence on the Dimension}}, booktitle = {31st International Symposium on Algorithms and Computation (ISAAC 2020)}, pages = {47:1--47:17}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-173-3}, ISSN = {1868-8969}, year = {2020}, volume = {181}, editor = {Yixin Cao and Siu-Wing Cheng and Minming Li}, publisher = {Schloss Dagstuhl--Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/opus/volltexte/2020/13391}, URN = {urn:nbn:de:0030-drops-133916}, doi = {10.4230/LIPIcs.ISAAC.2020.47}, annote = {Keywords: sublinear algorithms, quantum-inspired, regression, importance sampling, quantum machine learning} }
Keywords: | sublinear algorithms, quantum-inspired, regression, importance sampling, quantum machine learning | |
Seminar: | 31st International Symposium on Algorithms and Computation (ISAAC 2020) | |
Issue date: | 2020 | |
Date of publication: | 04.12.2020 |