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Quantum SVMs benchmarked for credit card fraud detection
A new research paper explores the effectiveness of Quantum Kernel Support Vector Machines (QSVM) for credit card fraud detection, a task complicated by the rarity of fraudulent transactions. The study benchmarks three q…
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Fractal dimension predicts quantum kernel collapse in angle-encoded data
A new research paper proposes using the correlation fractal dimension (D2) as a method to determine the optimal qubit budget for angle-encoded quantum kernels. This approach aims to prevent kernel collapse, a phenomenon…