Multiclass classification is of great interest for various applications, for example, it is a
common task in computer vision, where one needs to categorize an image into three or …

Quantum kernel methods exploit quantum computers to calculate quantum kernels (QKs) for
the use of kernel-based learning models. Despite a potential quantum advantage of the …

Quantum machine learning (QML) has come into the limelight due to the exceptional
computational abilities of quantum computers. With the promises of near error-free quantum …

The quantum kernel method results clearly outperformed a classical SVM when analyzing
low-resolution images with minimal feature selection on the quantum simulator, with …

This research examines the revolutionary potential of Quantum Machine Learning (QML),
which combines machine instruction and quantum computer technology. The work carefully …

In the noisy intermediate scale quantum (NISQ) era, the control over the qubits is limited due
to the errors caused by quantum decoherence, crosstalk, and imperfect calibration. Hence, it …