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ENTITY Kernel classifier construction using orthogonal forward selection and boosting with Fisher ratio class separability measure

Kernel classifier construction using orthogonal forward selection and boosting with Fisher ratio class separability measure

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    Quantum Kernel Vision Models: Effective Dimension Governs Generalization

    Researchers have identified a key metric, the effective dimension ($d_{\rm eff}$), that governs generalization in quantum kernel vision models. This metric explains why models with more entanglement or even added quantu…