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 2173-2184 of 3,957
Quantum Machine Learning Architecture Search via Deep Reinforcement Learning
Xin Dai, Tzu-Chieh Wei, Shinjae Yoo, Samuel Yen-Chi Chen
Quantum machine learning for multiclass classification beyond kernel methods
Chao Ding, Shi Wang, Yaonan Wang, Weibo Gao
Quantum Machine Learning with Application to Progressive Supranuclear Palsy Network Classification
Papri Saha
Quantum Machine Learning With Canonical Variables
Jesús Fuentes
Quantum Machine Learning: An Interplay Between Quantum Computing and Machine Learning
Jun Qi, Chao-Han Yang, Samuel Yen-Chi Chen, Pin-Yu Chen
Quantum Machine Learning: Performance and Security Implications in Real-World Applications
Zhengping Jay Luo, Tyler Stewart, Mourya Narasareddygari, Rui Duan, Shangqing Zhao
Quantum Many-body Calculations Using Artificial Neural Networks
Dong-Hee KIM
Quantum memristors for neuromorphic quantum machine learning
Lucas Lamata
Quantum multi-output Gaussian Processes based Machine Learning for Line Parameter Estimation in Electrical Grids
Priyanka Arkalgud Ganeshamurthy, Kumar Ghosh, Corey O'Meara, Giorgio Cortiana, Jan Schiefelbein-Lach, Antonello Monti
Quantum network tomography of Rydberg arrays by machine learning
Kaustav Mukherjee, Johannes Schachenmayer, Shannon Whitlock, Sebastian Wüster
Quantum Neural Network for Accelerated Magnetic Resonance Imaging
Shuo Zhou, Yihang Zhou, Congcong Liu, Yanjie Zhu, Hairong Zheng, Dong Liang, Haifeng Wang
Quantum Neural Network Training of a Repeater Node
Diego Fuentealba, Jack Dahn, James Steck, Elizabeth Behrman