Quantum Machine Learning
521 papers for year 2024
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 193-204 of 521
Hybrid Quantum-Classical Machine Learning with String Diagrams
Alexander Koziell-Pipe, Aleks Kissinger
Hybrid Quantum-Classical Reinforcement Learning in Latent Observation Spaces
Dániel T. R. Nagy, Csaba Czabán, Bence Bakó, Péter Hága, Zsófia Kallus, Zoltán Zimborás
Hyperdimensional Quantum Factorization
Prathyush Poduval, Zhuowen Zou, Alvaro Velasquez, Mohsen Imani
Identifying the determining factors of detonation properties for linear nitroaliphatics with high-throughput computation and machine learning
Wen Qian, Jing Huang, Shi-tai Guo, Bo-wen Duan, Wei-yu Xie, Jian Liu, Chao-yang Zhang
Impact of Measurement Noise on Escaping Saddles in Variational Quantum Algorithms
Eriko Kaminishi, Takashi Mori, Michihiko Sugawara, Naoki Yamamoto
Implementation Guidelines and Innovations in Quantum LSTM Networks
Yifan Zhou, Chong Cheng Xu, Mingi Song, Yew Kee Wong, Kangsong Du
Implementing multi-controlled X gates using the quantum Fourier transform
Vladimir V. Arsoski
Improve Variational Quantum Eigensolver by Many-Body Localization
Li Xin, Zhang-qi Yin
Improved algorithms for learning quantum Hamiltonians, via flat polynomials
Shyam Narayanan
Improved Belief Propagation Decoding Algorithms for Surface Codes
Jiahan Chen, Zhengzhong Yi, Zhipeng Liang, Xuan Wang
Improving Student Learning Outcomes in Islamic Education Learning through the Quantum Learning Model at SD Negeri 0110 Hutarimbaru
Siti Zubaidah Lubis, Emmi Rahmi Nasution, Lisna Wati Lubis
Improving Student Learning Outcomes through the Quantum Learning Model in Islamic Education Learning at SD Negeri 0109 Janjilobi
Nur Laila Annisa Lubis, Nuraliah Nasution, Juliana Siregar