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First steps to the classification of ERPs using quantum computation

Authors
  • Cattan, Grégoire
  • Andreev, Anton
Publication Date
May 17, 2022
Source
HAL
Keywords
Language
English
License
Unknown
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Abstract

In this study, we investigate the performance of a quantum-enhanced support vector classifier for the binary classification of event-related potentials with electroencephalography. The resulting balanced accuracy on the training data was 83.17 %, hence comparing with the results of prior arts. This suggests that QSVC is a promising technology for the classification of event-related potentials.

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