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 3853-3864 of 3,957
Fault-tolerant quantum computation with a soft-decision decoder for error correction and detection by teleportation.
Goto H, Uchikawa H.
Graphics processing units accelerated semiclassical initial value representation molecular dynamics
Dario Tamascelli, Francesco S. Dambrosio, Riccardo Conte, Michele Ceotto
Inferential vs. Dynamical Conceptions of Physics
David Wallace
Multiple Network Alignment on Quantum Computers
Anmer Daskin, Ananth Grama, Sabre Kais
One-qubit quantum gates in a circular graphene quantum dot: genetic algorithm approach.
Amparán G, Rojas F, Pérez-Garrido A.
Parametric representation of open quantum systems and cross-over from quantum to classical environment.
Calvani D, Cuccoli A, Gidopoulos NI, Verrucchi P.
Phase-asymmetry resource interconversion via estimation
Varun Narasimhachar, Gilad Gour
Quantum Algorithms for Matrix Products over Semirings
François Le Gall, Harumichi Nishimura
Quantum Annealing and Computation: A Brief Documentary Note
Asim Ghosh, Sudip Mukherjee
Quantum computation of discrete logarithms in semigroups
Andrew M. Childs, Gábor Ivanyos
Quantum Ensemble Classification: A Sampling-based Learning Control Approach
Chunlin Chen, Daoyi Dong, Bo Qi, Ian R. Petersen, Herschel Rabitz
Quantum information processing with hybrid spin-photon qubit encoding.
Carretta S, Chiesa A, Troiani F, Gerace D, Amoretti G, Santini P.