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quant-ph2026
Quantum Convolutional Autoencoders for Reconstruction-Based Anomaly Detection
Donovan Slabbert, Francesco Petruccione
Quantum convolutional neural networks (QCNNs) have become increasingly popular in quantum machine learning (QML) due to their efficient parameterization and hierarchical representa…
quant-ph2026
Hybrid Quantum-Classical Logistic Regression for Calibrated Classification of Pulsar Candidates
Chanelle Matadah Manfouo, Donovan Slabbert, Prince Koree Osei +1
Reliable pulsar candidate ranking requires probability estimates that are not only discriminative but also well calibrated. We evaluate hybrid quantum-calssical logistic regression…