Quantum Machine Learning
3,957 papers
Quantum Machine Learning Research Context
This category covers quantum machine learning research, including quantum kernels, variational classifiers, hybrid learning systems, generative models, and QML benchmarks.
Showing 2341-2352 of 3,957
A hybrid quantum-classical fusion neural network to improve protein-ligand binding affinity predictions for drug discovery
L. Domingo, M. Chehimi, S. Banerjee, S. He Yuxun, S. Konakanchi, L. Ogunfowora, S. Roy, S. Selvaras, M. Djukic, C. Johnson
A Hyperparameter Study for Quantum Kernel Methods
Sebastian Egginger, Alona Sakhnenko, Jeanette Miriam Lorenz
A model that can be applied both online and face-to-face education: Problem based-quantum learning model
Burcu ÖKMEN, Şeyma ŞAHİN, Abdurrahman KILIÇ
A no free lunch theorem for untrained quantum circuits in machine learning
Steven Herbert
A novel feature selection method based on quantum support vector machine
Haiyan Wang
A Novel Image Classification Framework Based on Variational Quantum Algorithms
Yixiong Chen
A Novel Image Segmentation Algorithm based on Continuous-Time Quantum Walk using Superpixels
Wei-Min Shi, Feng-Xue Xu, Yi-Hua Zhou, Yu-Guang Yang
A Physics Lab Inside Your Head: Quantum Thought Experiments as an Educational Tool
Maria Violaris
A Post-Training Approach for Mitigating Overfitting in Quantum Convolutional Neural Networks
Aakash Ravindra Shinde, Charu Jain, Amir Kalev
A pragma based C++ framework for hybrid quantum/classical computation
Arnaud Gazda, Oceane Koska
A proposal to characterize and quantify superoscillations
Yu Li, José Polo-Gómez, Eduardo Martín-Martínez
A Quadratic Sample Complexity Reduction for Agnostic Learning via Quantum Algorithms
Daniel Z. Zanger