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Overfitting in quantum machine learning and entangling dropout
v1v2 (latest)

Overfitting in quantum machine learning and entangling dropout

Quantum Machine Intelligence (QMI), 2022
23 May 2022
Masahiro Kobayashi
Kouhei Nakaji
N. Yamamoto
ArXiv (abs)PDFHTML

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

7 / 7 papers shown
Old Rules in a New Game: Mapping Uncertainty Quantification to Quantum Machine Learning
Old Rules in a New Game: Mapping Uncertainty Quantification to Quantum Machine Learning
Maximilian Wendlinger
Kilian Tscharke
Pascal Debus
UQCVAI4CE
155
1
0
20 Jul 2025
Addressing the Current Challenges of Quantum Machine Learning through Multi-Chip Ensembles
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
462
3
0
13 May 2025
Training-efficient density quantum machine learning
Training-efficient density quantum machine learning
Brian Coyle
El Amine Cherrat
Nishant Jain
Natansh Mathur
Snehal Raj
Skander Kazdaghli
Iordanis Kerenidis
334
10
0
30 May 2024
Graph Neural Networks for Parameterized Quantum Circuits Expressibility
  Estimation
Graph Neural Networks for Parameterized Quantum Circuits Expressibility EstimationInternational Conference on Quantum Computing and Engineering (QCE), 2024
Shammi Aktar
Andreas Bartschi
Diane Oyen
S. Eidenbenz
Abdel-Hameed A. Badawy
199
4
0
13 May 2024
Permutation-equivariant quantum convolutional neural networks
Permutation-equivariant quantum convolutional neural networks
Sreetama Das
Filippo Caruso
239
3
0
28 Apr 2024
A Post-Training Approach for Mitigating Overfitting in Quantum
  Convolutional Neural Networks
A Post-Training Approach for Mitigating Overfitting in Quantum Convolutional Neural Networks
Aakash Ravindra Shinde
Charu Jain
A. Kalev
256
3
0
04 Sep 2023
Quantum Conformal Prediction for Reliable Uncertainty Quantification in
  Quantum Machine Learning
Quantum Conformal Prediction for Reliable Uncertainty Quantification in Quantum Machine LearningIEEE Transactions on Quantum Engineering (TQE), 2023
Sangwoo Park
Osvaldo Simeone
212
20
0
06 Apr 2023
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