Quantum Machine Learning
4,297 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 2509-2520 of 4,297
Quantum Linear System Solvers: A Survey of Algorithms and Applications
Mauro E. S. Morales, Lirandë Pira, Philipp Schleich, Kelvin Koor, Pedro C. S. Costa, Dong An, Alán Aspuru-Guzik, Lin Lin, Patrick Rebentrost, Dominic W. Berry
Quantum logic in computational neural systems
Alumnus, Foukzon Laboratory, Center for Mathematical Sciences, Technion — Israel Institute of Technology, Jonah Lissner
Quantum Long Short-Term Memory for Drug Discovery
Liang Zhang, Yin Xu, Mohan Wu, Liang Wang, Hua Xu
Quantum machine learning algorithms for anomaly detection: A review
Sebastiano Corli, Lorenzo Moro, Daniele Dragoni, Massimiliano Dispenza, Enrico Prati
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