ibm_fez
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Quantum ML shows mixed results for private health data analysis · 2 sources tracked
Researchers have explored the application of unit-aware differentially private quantum machine learning (QML) for health data, comparing its utility against classical models like multilayer perceptrons and logistic regr…
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Quantum Model Certification Cost Tied to Measurement Correlation, Not Parameters
This paper delves into the computational cost of certifying quantum models, proposing that measurement correlation, rather than parameter count, is the key factor. The research outlines a formula for estimating the circ…
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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 …