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 3745-3756 of 3,957
Finite blocklength and moderate deviation analysis of hypothesis testing of correlated quantum states and application to classical-quantum channels with memory
Cambyse Rouze, Nilanjana Datta
Formal Series of Generalised Functions and Their Application to Deformation Quantisation
Jaromir Tosiek, Michał Dobrski
Generalized Coherent States, Reproducing Kernels, and Quantum Support Vector Machines
Rupak Chatterjee, Ting Yu
Identifying the minor set cover of dense connected bipartite graphs via random matching edge sets
Kathleen E. Hamilton, Travis S. Humble
Learning robust pulses for generating universal quantum gates.
Dong D, Wu C, Chen C, Qi B, Petersen IR, Nori F.
Machine Learning Topological States
Dong-Ling Deng, Xiaopeng Li, S. Das Sarma
Measurements of nanoresonator-qubit interactions in a hybrid quantum electromechanical system.
Rouxinol F, Hao Y, Brito F, Caldeira AO, Irish EK, LaHaye MD.
Measuring quantum entanglement, machine learning and wave function tomography: Bridging theory and experiment with the quantum gas microscope
Norm M. Tubman
Minimizing resource overheads for fault-tolerant preparation of encoded states of the Steane code.
Goto H.
Overcoming experimental limitations in a nonlinear two-qubit gate through postselection
Julián Martínez-Rincón
Parameter Setting for Quantum Annealers
Kristen L. Pudenz
QInfer: Statistical inference software for quantum applications
Christopher Granade, Christopher Ferrie, Ian Hincks, Steven Casagrande, Thomas Alexander, Jonathan Gross, Michal Kononenko, Yuval Sanders