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 3397-3408 of 3,957
Quantum entanglement recognition
Jun Yong Khoo, Markus Heyl
Quantum exploration algorithms for multi-armed bandits
Daochen Wang, Xuchen You, Tongyang Li, Andrew M. Childs
Quantum Fully Homomorphic Encryption by Integrating Pauli One-time Pad with Quaternions
Guangsheng Ma, Hongbo Li
Quantum Go Machine
Lu-Feng Qiao, Jun Gao, Zhi-Qiang Jiao, Zhe-Yong Zhang, Zhu Cao, Ruo-Jing Ren, Chao-Ni Zhang, Cheng-Qiu Hu, Xiao-Yun Xu, Hao Tang, Zhi-Hao Ma, Xian-Min Jin
Quantum Integer Programming (QuIP) 47-779: Lecture Notes
David E. Bernal, Sridhar Tayur, Davide Venturelli
Quantum k-means algorithm based on Trusted server in Quantum Cloud Computing
Changqing Gong, Zhaoyang Dong, Abdullah Gani, Han Qi
Quantum K-medians Algorithm Using Parallel Euclidean Distance Estimator
Amanuel Tamirat Getachew
Quantum Key Recovery Attack on SIMON Block Cipher
Hui Liu, Li Yang
Quantum Long Short-Term Memory
Samuel Yen-Chi Chen, Shinjae Yoo, Yao-Lung L. Fang
Quantum Machine Learning and its Supremacy in High Energy Physics
Kapil K. Sharma
Quantum Machine Learning for Particle Physics using a Variational Quantum Classifier
Andrew Blance, Michael Spannowsky
Quantum machine learning: Transforming cloud-based AI solutions
Bangar Raju Cherukuri