no code implementations • 28 Mar 2024 • Changwon Lee, Israel F. Araujo, Dongha Kim, Junghan Lee, Siheon Park, Ju-Young Ryu, Daniel K. Park
Quantum convolutional neural networks (QCNNs) represent a promising approach in quantum machine learning, paving new directions for both quantum and classical data analysis.
1 code implementation • 29 Jun 2022 • Siheon Park, Daniel K. Park, June-Koo Kevin Rhee
A kernel-based quantum classifier is the most practical and influential quantum machine learning technique for the hyper-linear classification of complex data.