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quant-ph2022
Variational Quantum Kernels with Task-Specific Quantum Metric Learning
Daniel T. Chang
Quantum kernel methods, i.e., kernel methods with quantum kernels, offer distinct advantages as a hybrid quantum-classical approach to quantum machine learning (QML), including app…
quant-ph2022★ 2 cited
Parameterized Quantum Circuits with Quantum Kernels for Machine Learning: A Hybrid Quantum-Classical Approach
Daniel T. Chang
Quantum machine learning (QML) is the use of quantum computing for the computation of machine learning algorithms. With the prevalence and importance of classical data, a hybrid qu…