2021
DOI: 10.1007/s42484-021-00042-0
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Semi-supervised time series classification method for quantum computing

Abstract: In this paper we develop methods to solve two problems related to time series (TS) analysis using quantum computing: reconstruction and classification. We formulate the task of reconstructing a given TS from a training set of data as an unconstrained binary optimization (QUBO) problem, which can be solved by both quantum annealers and gate-model quantum processors. We accomplish this by discretizing the TS and converting the reconstruction to a set cover problem, allowing us to perform a one-versus-all method … Show more

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Cited by 8 publications
(2 citation statements)
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“…Table XII also shows the different types of datasets used in 21 studies and none was found to be exactly the same. Some of the methods observed to have been applied in creating and using the datasets include building personal datasets [129,134,172,173,203,208,222,224,232,239], using a representative dataset on a specific problem [133,147,200,204,155,161], and applying several representative datasets [137,139,158,211,236]. The difference in the modes of creating and using these datasets is reasonable due to the variations in the specific issues focused on in each of those studies.…”
Section: Predicting Votes From Individualsmentioning
confidence: 99%
“…Table XII also shows the different types of datasets used in 21 studies and none was found to be exactly the same. Some of the methods observed to have been applied in creating and using the datasets include building personal datasets [129,134,172,173,203,208,222,224,232,239], using a representative dataset on a specific problem [133,147,200,204,155,161], and applying several representative datasets [137,139,158,211,236]. The difference in the modes of creating and using these datasets is reasonable due to the variations in the specific issues focused on in each of those studies.…”
Section: Predicting Votes From Individualsmentioning
confidence: 99%
“…(3) Application factors. Quantum computers have huge computing potential in solving problems in the areas of finance [ 5 ], medicine [ 6 ], and artificial intelligence [ 7 ]. Many researchers try to use quantum computers to solve real world problems.…”
Section: Introductionmentioning
confidence: 99%