Quantum Machine Learning
4,009 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 1345-1356 of 4,009
Unsupervised Discovery of Intermediate Phase Order in the Frustrated $J_1$-$J_2$ Heisenberg Model via Prometheus Framework
Brandon Yee, Wilson Collins, Maximilian Rutkowski
Unsupervised quantum machine learning using one clean qubit
Ramin Salehi, Asad Waqar Malik, Khoa Luu, Samee U. Khan
Urgent samples in clinical laboratories: stochastic batching to minimize patient turnaround time.
Novak A, Gnatowski A, Sucha P
USEQIP: Outcomes and experiences from 17 years of undergraduate summer schools in experimental quantum information science
John M Donohue, Michael J Grabowecky, George Nichols, Martin Laforest, Lino Eugene, Fiona Thompson, Peter Sprenger, Kevin Resch, David G Cory
Utility of Animal Models of Pneumonia and Sepsis.
Taenaka H, Maishan M, Watanabe R, Matthay MA
UV Intermittent Sterilization for Controlling Aspergillus SPP Dissemination and Preventing Aflatoxin Dairy Contamination: The Quantum Gravity Linearity Shifting Collapse Mechanisms Underline Bio-Systems and the Definition of Entropy-Stabilized Barycenter (EB)
Jingli Xing
V2Rho-FNO: Fourier Neural Operator for Electronic Density Prediction
Yingdi Jin, Xinming Qin, Ruichen Liu, Jie Liu, Zhenyu Li, Jinlong Yang
Validating a Koopman-Quantum Hybrid Paradigm for Diagnostic Denoising of Fusion Devices
Tie-Jun Wang, Run-Qing Zhang, Ling Qian, Yun-Tao Song, Ting Lan, Hai-Qing Liu, Keren Li
Validation of QuANTUM-derived tumor cell fraction for molecular testing in high-grade serous tubo-ovarian carcinoma.
Alviano AM, Pagni F, Seminati D, Casati G, Jaconi M, Fruscio R, De Leo A, Maloberti T, L'Imperio V, De Biase D, Cazzaniga G
Variational Quantum Physics-Informed Neural Networks for Hydrological PDE-Constrained Learning with Inherent Uncertainty Quantification
Prasad Nimantha Madusanka Ukwatta Hewage, Midhun Chakkravarthy, Ruvan Kumara Abeysekara
Verifying Adversarial Robustness in Quantum Machine Learning: from theory to physical validation via a software tool
Ji Guan, Mingsheng Ying
Visual-to-Code Authoring, Tensor-Network Debugging, and Quantum-Circuit Inspection Tools in Python
Alejandro Mata Ali