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 both classification and regression 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.
3 credible sources · last verified 6 months ago
Benchmark evaluating quantum kernel estimation (QKE) and quantum kernel training (QKT) for both classification and regression 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 across classification and regression, revealing that quantum advantage is dataset-dependent rather than universal.
Simulator / hardware-agnostic
Qiskit Machine Learning, PennyLane
3 of 3 count toward the source bar · last read 6 months ago (2026-03-19)