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 2641-2652 of 4,297
Unified Architecture for Quantum Lookup Tables
Shuchen Zhu, Aarthi Sundaram, Guang Hao Low
Universal Matrix Multiplication on Quantum Computer
Jiaqi Yao, Tianjian Huang, Ding Liu
Universal scaling laws in quantum-probabilistic machine learning by tensor network towards interpreting representation and generalization powers
Sheng-Chen Bai, Shi-Ju Ran
Universal terminal for cloud quantum computing.
Khazali M.
Unleashing quantum algorithms with Qinterpreter: bridging the gap between theory and practice across leading quantum computing platforms.
Contreras-Sepúlveda W, Villegas-Martínez BM, Gesing S, Sánchez-Mondragón JJ, Sánchez-Pérez JC, Vidales-Basurto CA, Escobedo-Alatorre JJ, Torres-Palencia AD, Palillero-Sandoval O, Licea-Rodriguez J, Lozano-Crisóstomo N, García-Melgarejo JC, Palacios-Perez EN.
Unsupervised Beyond-Standard-Model Event Discovery at the LHC with a Novel Quantum Autoencoder
Callum Duffy, Mohammad Hassanshah, Marcin Jastrzebski, Sarah Malik
Unsupervised learning of interacting topological phases from experimental observables.
Yu LW, Zhang SY, Shen PX, Deng DL
Unsupervised machine learning for detecting mutual independence among eigenstate regimes in interacting quasiperiodic chains
Colin Beveridge, Kathleen Hart, Cassio Rodrigo Cristani, Xiao Li, Enrico Barbierato, Yi-Ting Hsu
Untelegraphable Encryption and its Applications
Jeffrey Champion, Fuyuki Kitagawa, Ryo Nishimaki, Takashi Yamakawa
Untrained Filtering with Trained Focusing for Superior Quantum Architecture Search
Lian-Hui Yu, Xiao-Yu Li, Geng Chen, Qin-Sheng Zhu, Hui Li, Guo-Wu Yang
User Satisfaction Analysis of Academic Information System Using End-User Computing Satisfaction (EUCS)
Ali Nurdin, Muharman Lubis
Using matrix-product states for time-series machine learning
Joshua B. Moore, Hugo P. Stackhouse, Ben D. Fulcher, Sahand Mahmoodian