Research map / Learning theory and algorithms / Kernels and regression theory
The Inductive Bias of Quantum Kernels
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use the projected kernel on the known target-bearing first qubit | Quantum kernel regression · Synthetic first-qubit observable regression, varying qubits | test error | Helped |
| Use the full quantum kernel without the target-specific spectral bias | Quantum kernel regression · Synthetic first-qubit observable regression, varying qubits | test error | Hurt |
| Use an RBF kernel without the target-specific spectral bias | Quantum kernel regression comparison · Synthetic first-qubit observable regression, varying qubits | test error | Hurt |
| Use the second qubit instead of the target-bearing first qubit (ablation) | Biased quantum kernel q · Synthetic first-qubit observable regression, varying qubits | test error | Hurt |
| Project the kernel onto an arbitrary, incorrect qubit (ablation) | Quantum kernel regression · Synthetic first-qubit observable regression, varying qubits | test error | No clear effect |
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