The authors implement a quantum-circuit binary classifier in Qibo, train it on MNIST 0/1 and LHC-style collision data, and report ROC/AUC, confusion matrices, and accuracy while comparing to a small CNN on pile-up images.
The role of machine and deep learning in modern medical physics
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Towards the implementation of a quantum classifier
The authors implement a quantum-circuit binary classifier in Qibo, train it on MNIST 0/1 and LHC-style collision data, and report ROC/AUC, confusion matrices, and accuracy while comparing to a small CNN on pile-up images.