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In this presentation, we delve into the use of quantum kernels for data analysis in the health sciences. We address the critical issue of reproducibility inherent in quantum kernels and discuss the challenges of variability posed by small datasets. Our exploration aims to provide insights into and potential solutions for these challenges within the realm of quantum computing as applied to health sciences. We specifically examine data outliers and their connection to key metrics.
Zoran Krunic, Senior Manager Data Science, Amgen
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