Hybrid quantum machine learning assisted classification of COVID-19 from computed tomography scans
L Sünkel, D Martyniuk, JJ Reichwald… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
Practical quantum computing (QC) is still in its in-fancy and problems considered are usually
fairly small, especially in quantum machine learning when compared to its classical …
fairly small, especially in quantum machine learning when compared to its classical …
Towards transfer learning for large-scale image classification using annealing-based quantum boltzmann machines
Quantum Transfer Learning (QTL) recently gained popularity as a hybrid quantum-classical
approach for image classification tasks by efficiently combining the feature extraction …
approach for image classification tasks by efficiently combining the feature extraction …
Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures
Quantum computing offers the potential for superior computational capabilities, particularly
for data-intensive tasks. However, the current state of quantum hardware puts heavy …
for data-intensive tasks. However, the current state of quantum hardware puts heavy …
[PDF][PDF] Multi-class text classification with quantum circuits
RA Wolf, PLM de Rituerto, PS Vieites, Y Lalou, G Daly… - indico.qtml2024.org
We perform quantum multi-class text classification on a dataset of over 100 000 newspaper
titles. Benchmarking is conducted using noiseless simulations for a low qubit count …
titles. Benchmarking is conducted using noiseless simulations for a low qubit count …