Variational Quantum Classifier for Binary Classification: Real vs Synthetic Dataset

Variational Quantum Classifier for Binary Classification: Real vs Synthetic Dataset

Nowadays, quantum-enhanced methods have been widely studied to solve machine learning related problems. This article presents the application of a Variational Quantum Classifier (VQC) for binary classification. We utilized three datasets: a synthetic dataset with randomly generated values between 0...

Full description

Bibliographic Details
Main Authors: Danyal Maheshwari, Daniel Sierra-Sosa, Begonya Garcia-Zapirain
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Quantum machine learning
state preparation
amplitude encoding
variational quantum classifier and T2DM diabetes
Online Access:https://ieeexplore.ieee.org/document/9665779/

Similar Items

Similar Items