Preprint
Aug 2026
Benchmarking Quantum and Classical Machine Learning Models on Oncological Data
This work develops a methodology for fair benchmarking of quantum and classical machine learning models, based on the Red Cedar quantum machine learning and resource estimation framework and AutoML-optimized classical neural networks, and finds no evidence of quantum advantage.
Sydney Leither, Thomas Lubinski, Michael Kubal et al.
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