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 1165-1176 of 4,009
Scalable quantum Trotterised-vs-continuous annealing for pseudo-Boolean multi-objective optimisation
Zakaria Abdelmoiz Dahi, Francisco Chicano, Gabriel Luque, Thomas Gabor
Scalable Quantum Walk–Based Heuristics for the Minimum Vertex Cover Problem
Luiz FS, Iwakami AKF, Moraes DH, Oliveira MC.
Scalar and Vector Airborne Platform Calibration Using Quantum and Classical Magnetometers and Inertial Sensors
Antonia Hager, Torleiv H. Bryne, Mia Jukić
Scaling Laws for Hybrid Quantum Neural Networks: Depth, Width, and Quantum-Centric Diagnostics
Danil Vyskubov, Kirill Vyskubov, Nouhaila Innan, Muhammad Shafique
Scaling Quantum Machine Learning without Tricks: High-Resolution and Diverse Image Generation
Jonas Jäger, Florian J. Kiwit, Carlos A. Riofrío
Scaling Qubit Mapping and Routing With Position Graph Abstraction and Memoization
Brent Russon, Bao Bach, Ed Younis, Ilya Safro
Schedule-dependent basin occupation in a programmable quantum annealer
Luis Lozano
Scheduling Entanglement Flows in Multi-channel Quantum Networks
Gongyu Ni, Lester Ho
Scheduling for energy-efficient manufacturing using quantum annealing
Xiangqian Wu, Philipp Schworm, Marcel Wagner, Jan C. Aurich
Screening, synthesis, characterization, and quantum chemical calculation of sunitinib-hydrogen glutarate: Enhancing biopharmaceutical performance and oral bioavailability
Zhenjun Liu, Huiwen Yang, Haomin Sun, Songgu Wu, Lina Zhou, Hua Rong, Haibin Song, Wei Chen, Ming Chen, Lihua Cui
Sculpting Superior Subnanometer Catalysts Directly from Inert Gold.
Liu C, Wang Z, Lu X, Cao S, Wang YG
SDEIT: Semantic-Driven Electrical Impedance Tomography.
Liu D, Wu Y, Tong B, Deng J