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 4057-4068 of 4,130
Characterization and Predictive Modeling of Epitaxial Silicon-Germanium Thermistor Layers
B. Gunnar Malm, Mohammadreza Kolahdouz, Fredrik Forsberg, Frank Niklaus
Condition for tripartite entanglement
A. I. Solomon, C. -L. Ho
Efficient measurement of quantum dynamics via compressive sensing.
Shabani A, Kosut RL, Mohseni M, Rabitz H, Broome MA, Almeida MP, Fedrizzi A, White AG.
Experimental realization of optimal noise estimation for a general Pauli channel.
Chiuri A, Rosati V, Vallone G, Pádua S, Imai H, Giacomini S, Macchiavello C, Mataloni P.
Experimental test of the quantum no-hiding theorem.
Samal JR, Pati AK, Kumar A.
Improving low-dose abdominal CT images by Weighted Intensity Averaging over Large-scale Neighborhoods.
Chen Y, Chen W, Yin X, Ye X, Bao X, Luo L, Feng Q, li Y, Yu X
Non-Markovian behavior of small and large complex quantum systems.
Žnidarič M, Pineda C, García-Mata I.
One-photon double ionization of helium: a heuristic formula for the cross section
Morten Førre
Partial decode-forward for quantum relay channels
Ivan Savov, Mark M. Wilde, Mai Vu
QSAR study of C allosteric binding site of HCV NS5B polymerase inhibitors by support vector machine.
Pourbasheer E, Riahi S, Ganjali MR, Norouzi P
Quantum computing with NMR.
Jones JA
Tuned transition from quantum to classical for macroscopic quantum states.
Fedorov A, Macha P, Feofanov AK, Harmans CJ, Mooij JE.