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 553-564 of 3,957
Improved Lower Bounds for Learning Quantum Channels in Diamond Distance
Aadil Oufkir, Filippo Girardi
Improvements to the DHSP quantum solving algorithm
Cui Fuxin, Wang Bei, Dou Menghan, Li Ye
Improving consciousness assessment through neuroadaptive artificial intelligence and quantum-enhanced brain-computer interfaces.
Oullier O, Roser F, Barbaste P, Vasques X
Improving Quantum Machine Learning via Heat-Bath Algorithmic Cooling
Nayeli A. Rodríguez-Briones, Daniel K. Park
In silico identification of a prognostic gene signature and virtual screening for hepatocellular carcinoma.
Amin A, Fatima S, Aslam MK, Belaidi M, Bibi S, Bufarwa SW, Zahid S, Albadrani GM, Altalhi R, Sayed AA, Abdel-Daim MM
In situ Learning-Based Spin Engineering of Pulsed Dynamic Nuclear Polarization
Filip V. Jensen, José P. Carvalho, Nino Wili, Asbjorn Holk Thomsen, David L. Goodwin, Lukas Trottner, Claudia Strauch, Anders Bodholt Nielsen, Niels Chr. Nielsen
Indoor Occupancy Classification using a Compact Hybrid Quantum-Classical Model Enabled by a Physics-Informed Radar Digital Twin
Sebastian Ratto, Ahmed N. Sayed, Neda Rojhani, Arien P. Sligar, Jose R. Rosas-Bustos, Saasha Joshi, Luke C. G. Govia, Omar M. Ramahi, George Shaker
Information in Many-body Eigenstates: A Question of Learnability
Maksymilian Kliczkowski, Jarosław Pawłowski, Masudul Haque
Information-Geometric Optimization on Spheres
Vladimir Ja\' cimovi\'c
Insight into the oxidative aging behavior of asphalt using experiment-derived average molecular models and quantum chemistry calculations
Hongfei Zhang, Fusen Zheng, Jiupeng Zhang, Dongliang Hu, Matteo Minelli, Zhe Li, Jianzhong Pei, Cesare Sangiorgi
Insights into Protein-Ligand Noncovalent Interaction Networks: A Database Survey and Quantum Chemistry Calculation Study.
Luo R, Han Z, Li J, Chen Y, Peng Z, Zhang Q, Zhu W, Xu Z
Integrated computational screening of FDA-approved anticancer drugs as novel HPV-16 E6 inhibitors in cervical cancer.
Ahmadi M, Yoosefian M