Quantum Machine Learning
416 papers for year 2023
Showing 13-24 of 416
A general learning scheme for classical and quantum Ising machines
Ludwig Schmid, Enrico Zardini, Davide Pastorello
2023
arXiv
arXiv preprint
A Hybrid Classical-Quantum HPC Workload
Aniello Esposito, Sebastien Cabaniols, Jessica R. Jones, David Brayford
2023
arXiv
arXiv preprint
A hybrid quantum-classical conditional generative adversarial network algorithm for human-centered paradigm in cloud
Wenjie Liu, Ying Zhang, Zhiliang Deng, Jiaojiao Zhao, Lian Tong
2023
arXiv
arXiv preprint
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
2023
arXiv
arXiv preprint
A Hyperparameter Study for Quantum Kernel Methods
Sebastian Egginger, Alona Sakhnenko, Jeanette Miriam Lorenz
2023
arXiv
arXiv preprint
A model that can be applied both online and face-to-face education: Problem based-quantum learning model
Burcu ÖKMEN, Şeyma ŞAHİN, Abdurrahman KILIÇ
2023
Crossref
Balıkesir Üniversitesi Sosyal Bilimler Enstitüsü Dergisi
A no free lunch theorem for untrained quantum circuits in machine learning
Steven Herbert
2023
arXiv
arXiv preprint
A novel feature selection method based on quantum support vector machine
Haiyan Wang
2023
arXiv
arXiv preprint
A Novel Image Classification Framework Based on Variational Quantum Algorithms
Yixiong Chen
2023
arXiv
arXiv preprint
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
2023
Crossref
International Journal of Theoretical Physics
A Physics Lab Inside Your Head: Quantum Thought Experiments as an Educational Tool
Maria Violaris
2023
arXiv
arXiv preprint
A Post-Training Approach for Mitigating Overfitting in Quantum Convolutional Neural Networks
Aakash Ravindra Shinde, Charu Jain, Amir Kalev
2023
arXiv
arXiv preprint