# Binary classification with classical instances and quantum labels

@article{Caro2021BinaryCW, title={Binary classification with classical instances and quantum labels}, author={Matthias C. Caro}, journal={Quantum Machine Intelligence}, year={2021}, volume={3}, pages={1-24} }

In classical statistical learning theory, one of the most well-studied problems is that of binary classification. The information-theoretic sample complexity of this task is tightly characterized by the Vapnik-Chervonenkis (VC) dimension. A quantum analog of this task, with training data given as a quantum state has also been intensely studied and is now known to have the same sample complexity as its classical counterpart. We propose a novel quantum version of the classical binary… Expand

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