Hyperparameter Importance of Quantum Neural Networks Across Small
Datasets

Hyperparameter Importance of Quantum Neural Networks Across Small Datasets

20 June 2022

Jan N. van Rijn

Thomas Bäck

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

7 / 7 papers shown

Title
AQMLator -- An Auto Quantum Machine Learning E-Platform Tomasz Rybotycki Piotr Gawron 19 1 0 26 Sep 2024
On Optimizing Hyperparameters for Quantum Neural Networks Sabrina Herbst Vincenzo De Maio Ivona Brandić 13 2 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 22 3 0 20 Mar 2024
A Hyperparameter Study for Quantum Kernel Methods Sebastian Egginger Alona Sakhnenko J. M. Lorenz 15 6 0 18 Oct 2023
Application of quantum-inspired generative models to small molecular datasets Charles Moussa H. Wang Mauricio Araya-Polo T. Bäck Vedran Dunjko 11 5 0 21 Apr 2023
QOC: Quantum On-Chip Training with Parameter Shift and Gradient Pruning Hanrui Wang Zi-Chen Li Jiaqi Gu Yongshan Ding D. Pan Song Han 29 52 0 26 Feb 2022
QuantumNAT: Quantum Noise-Aware Training with Noise Injection, Quantization and Normalization Hanrui Wang Jiaqi Gu Yongshan Ding Zi-Chen Li Frederic T. Chong D. Pan Song Han 22 62 0 21 Oct 2021