Quantum Machine Learning
4,265 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 253-264 of 4,265
Central Asian Influence in Modern Military Treatises: A Tutorial for Historiographical Implementation of Quantum Link Prediction
Jose Hernandez Perez
Certified Finite-Shot Operating Windows for Virtual Distillation and Symmetry Verification
Vicenzo Scavino Alfaro
Cervical cancer image analysis: Detection and segmentation using self-guided quantum GANs and musical chairs optimization.
Naresh Kumar A, Sageengran S, Mahalle PN, Guganathan L
Challenge-Response Quantum Reinforcement Learning with Application to Quantum-Assisted Authentication
Jawaher Kaldari, Saif Al-Kuwari
Channel-aware dynamic routing for optimizing coexistence of quantum and classical channels in DWDM networks
Yubo Ding, Lin Bi, Gopal Verma
Characterization and Clinical Translation of a Novel Prototype Kilovoltage Dual-Layer Imager for Onboard Imaging.
Harris TC, Jacobson M, Bruegger R, Birrer V, Ferguson D, Hu YH, Myronakis M, Lehmann M, Arroyo PC, Etemadpour R, Fueglistaller R, Berbeco RI
Characterization and upgrade of a quantum graph neural network for charged particle tracking
Matteo Argenton, Laura Cappelli, Concezio Bozzi
Characterizing the Burst Error Correction Ability of Quantum Cyclic Codes
Jihao Fan, Min-Hsiu Hsieh
CHARMM-GUI Hybrid ML/MM Builder for Hybrid Machine Learning and Molecular Mechanical Modeling and Simulations.
Szczepaniak F, Suh D, Im W.
ChemRefine: An Open-Source Automated and Interoperable Platform for Machine Learning and Quantum Chemistry Simulations.
Migliaro I, Weiss MGS, Sterling AJ
Circuit Harmonic Matrices: A Spectral Framework for Quantum Machine Learning
Kyle James Stuart Campbell, Luigi Del Debbio, Petros Wallden
Circuit Theory Based on New Concepts and Its Application to Quantum Theory
Nobuo Nagai, Hirofumi Sanada, Takashi Yahagi