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 265-276 of 4,297
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
Circular Polarization-Based Quantum Encoding for Image Transmission over Error-Prone Channels
Udara Jayasinghe, Anil Fernando
Circumventing query complexity barriers in learning quantum dynamics via physics-informed kernels
Youle Wang, Lei Zhang
Classic and Quantum Task-Based Intelligent Runtime for QIRs Running on Multiple QPUs
Narasinga Rao Miniskar, Elaine Wong, Vicente Leyton-Ortega, Jeffrey S. Vetter, Travis S. Humble
Classical and Quantum Machine Learning for Population-Level Prediction of Heat-Related Physiological Events
Saul Gonzalez-Bermejo, Tommaso Albrigi, Borja Vazquez-Morado, Urko Regueiro-Ramos, Daniel Casado-Faulı, Sergi Consul-Pacareu, Parfait Atchade-Adelomou
Classical and Quantum Speedups for Non-Convex Optimization via Energy Conserving Descent
Yihang Sun, Huaijin Wang, Patrick Hayden, Jose Blanchet
Classical neural networks on quantum devices via tensor network disentanglers: A case study in image classification
Borja Aizpurua, Sukhbinder Singh, Román Orús
Classical Quantum Federated Learning for Mental Stress Detection
Aarya Lambore, Prajwal Thorat, Sarthak Wayase, Vaibhav Jadhav, Mr. Digambar Padulkar
Classical SU(2) Models Match or Exceed Shallow Variational Quantum Circuits on Classical Vision Benchmarks
Fulton C, Tsapara I, Fulton L.