Quantum Kernel Methods Classification Benchmark
Quantum Support Vector Machine (QSVM) with quantum kernels · Machine-learning · 10 qubits · Qiskit Machine Learning, PennyLane
Benchmark evaluating quantum kernel estimation (QKE) and quantum kernel training (QKT) for classification tasks using quantum support vector machines. A large-scale study examined fidelity-based and projected quantum kernels across 64 datasets and five dataset families. While quantum kernels outperform classical methods on specifically constructed ad-hoc datasets, results on standard classical benchmarks are mixed.
Benchmark evaluating quantum kernel estimation (QKE) and quantum kernel training (QKT) for classification tasks using quantum support vector machines. A large-scale study examined fidelity-based and projected quantum kernels across 64 datasets and five dataset families. While quantum kernels outperform classical methods on specifically constructed ad-hoc datasets, results on standard classical benchmarks are mixed.
Largest systematic evaluation of quantum kernel methods, revealing that quantum advantage is dataset-dependent and not universal for classification tasks.
Simulator / hardware-agnostic
Qiskit Machine Learning, PennyLane