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most citedA Post-Training Approach for Mitigating Overfitting in Quantum Convolutional Neural Networks

6 citations · 8 across the 4 of their papers we have counts for

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quant-ph2026

The Average Relative Entropy and Transpilation Depth determines the noise robustness in Variational Quantum Classifiers

Aakash Ravindra Shinde, Arianne Meijer - van de Griend, Jukka K. Nurminen

Variational Quantum Algorithms (VQAs) have been extensively researched for applications in Quantum Machine Learning (QML), Optimization, and Molecular simulations. Although designe…