Hyperparameter Importance of Quantum Neural Networks Across Small
Datasets

Hyperparameter Importance of Quantum Neural Networks Across Small Datasets

IFIP Working Conference on Database Semantics (IWDS), 2022

20 June 2022

Jan N. van Rijn

Thomas Bäck

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Papers citing "Hyperparameter Importance of Quantum Neural Networks Across Small Datasets"

9 / 9 papers shown

Title
QuXAI: Explainers for Hybrid Quantum Machine Learning Models Saikat Barua Mostafizur Rahman Shehenaz Khaled Md Jafor Sadek Rafiul Islam Shahnewaz Siddique 192 2 0 15 May 2025
AQMLator -- An Auto Quantum Machine Learning E-PlatformComputer Science (CS), 2024 Tomasz Rybotycki Piotr Gawron 329 1 0 26 Sep 2024
On Optimizing Hyperparameters for Quantum Neural Networks Sabrina Herbst Vincenzo De Maio Ivona Brandić 247 4 0 27 Mar 2024
FissionFusion: Fast Geometric Generation and Hierarchical Souping for Medical Image Analysis Santosh Sanjeev Nuren Zhaksylyk Ibrahim Almakky Anees Ur Rehman Hashmi Mohammad Areeb Qazi Mohammad Yaqub 288 4 0 20 Mar 2024
A Hyperparameter Study for Quantum Kernel MethodsQuantum Machine Intelligence (QMI), 2023 Sebastian Egginger Alona Sakhnenko J. M. Lorenz 198 13 0 18 Oct 2023
Application of quantum-inspired generative models to small molecular datasetsInternational Conference on Quantum Computing and Engineering (QCE), 2023 Charles Moussa H. Wang Mauricio Araya-Polo T. Bäck Vedran Dunjko 121 9 0 21 Apr 2023
QOC: Quantum On-Chip Training with Parameter Shift and Gradient PruningDesign Automation Conference (DAC), 2022 Hanrui Wang Zi-Chen Li Jiaqi Gu Yongshan Ding David Z. Pan Song Han 378 59 0 26 Feb 2022
Learning Curves for Decision Making in Supervised Machine Learning: A SurveyMachine-mediated learning (ML), 2022 F. Mohr Jan N. van Rijn 220 67 0 28 Jan 2022
QuantumNAT: Quantum Noise-Aware Training with Noise Injection, Quantization and NormalizationDesign Automation Conference (DAC), 2021 Hanrui Wang Jiaqi Gu Yongshan Ding Zi-Chen Li Frederic T. Chong David Z. Pan Song Han 294 78 0 21 Oct 2021