ibm_fez
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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…
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Quantum Kernel Geometry Survival Tested on IBM Hardware
Researchers have investigated the survival of geometric information within a four-qubit quantum kernel on IBM Quantum Hardware. The study focused on a specific frozen ZZ feature-map kernel, analyzing its performance acr…
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Researchers use transfer learning to model quantum device noise with few samples
Researchers have developed a few-shot transfer learning method to model noise on quantum devices, addressing limitations in error mitigation strategies. By training a residual neural network on data from an IBM quantum …