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Open access 2026

Quantum-KIP: Kernel Inducing Points for Quantum Privacy

We introduce Quantum-KIP, a method that compresses a training set into a small set of kernel inducing points with soft labels. It uses a quantum feature map to compute state-fidelity overlaps and relies only on forward evaluations, avoiding backpropagation through quantum circuits. We provide a compression-induced stab...

Baobao Song, Shiva Raj Pokhrel, Athanasios V. Vasilakos et al. · 0 citations

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