Kernel methods form a foundational framework in statistical learning theory, enabling algorithms to operate in implicitly defined high-dimensional feature spaces without ever computing feature vectors ...
This work studies the feasibility of applying quantum kernel methods to a real consumer classification task in the NISQ regime. We present a hybrid pipeline that combines a quantum-kernel Support ...
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