HIGHLIGHTS
- What: The authors studied the use of Quantum Machine Learning (QML) algorithms for binary classification and compared their with classical Machine Learning (ML) methods. The authors focused on the binary classification problem in machine_learning. The study extended its investigation to multiclass classification, focusing on multiple angles of attack on aircraft wings. The authors adopted the ZZFeatureMap, which was designed with the angle encoding technique.
- Who: Surajudeen Shina Ajibosin and Deniz Cetinkaya from the Department of Computing and Informatics, Bournemouth University, Poole , BB, UK have published the paper: Implementation and Performance Evaluation of Quantum Machine Learning . . .
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