Quantum Machine Learning
4,130 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 4021-4032 of 4,130
Coherent Josephson qubit suitable for scalable quantum integrated circuits.
Barends R, Kelly J, Megrant A, Sank D, Jeffrey E, Chen Y, Yin Y, Chiaro B, Mutus J, Neill C, O'Malley P, Roushan P, Wenner J, White TC, Cleland AN, Martinis JM.
Critique of Fault-Tolerant Quantum Information Processing
Robert Alicki
Entanglement and tensor network states
J. Eisert
Exponential Quantum-Classical Gaps in Multiparty Nondeterministic Communication Complexity
Xiaoming Sun, Marcos Villagra
Fault Tolerant Synthesis of Reversible Circuits
Anugrah Jain
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