Overfitting in quantum machine learning and entangling dropout

23 May 2022

Papers citing "Overfitting in quantum machine learning and entangling dropout"

6 / 6 papers shown

Title
Addressing the Current Challenges of Quantum Machine Learning through Multi-Chip Ensembles Junghoon Justin Park Jiook Cha Samuel Yen-Chi Chen Huan-Hsin Tseng Shinjae Yoo 36 0 0 13 May 2025
Training-efficient density quantum machine learning Brian Coyle El Amine Cherrat Nishant Jain Natansh Mathur Snehal Raj Skander Kazdaghli Iordanis Kerenidis 44 5 0 30 May 2024
Graph Neural Networks for Parameterized Quantum Circuits Expressibility Estimation Shammi Aktar Andreas Bartschi Diane Oyen S. Eidenbenz Abdel-Hameed A. Badawy 20 2 0 13 May 2024
Permutation-equivariant quantum convolutional neural networks Sreetama Das Filippo Caruso 45 2 0 28 Apr 2024
A Post-Training Approach for Mitigating Overfitting in Quantum Convolutional Neural Networks Aakash Ravindra Shinde Charu Jain A. Kalev 27 0 0 04 Sep 2023
Quantum Conformal Prediction for Reliable Uncertainty Quantification in Quantum Machine Learning Sangwoo Park Osvaldo Simeone 27 9 0 06 Apr 2023