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Optimal algorithmic complexity of inference in quantum kernel methods

Researchers systematize algorithmic improvements for quantum kernel method inference, analyzing trade-offs between sampling and quantum amplitude estimation techniques to reduce query complexity below the standard O(N||α||₂²/ε²) bound.

Mentionsquantum kernel methods · quantum amplitude estimation

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Optimal algorithmic complexity of inference in quantum kernel methods · Modelwire