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 3877-3888 of 3,957
Quantum learning without quantum memory.
Sentís G, Calsamiglia J, Muñoz-Tapia R, Bagan E.
Quantum physics: Cruise control for a qubit.
Wiseman HM.
Testing sequential quantum measurements: how can maximal knowledge be extracted?
Nagali E, Felicetti S, de Assis PL, D'Ambrosio V, Filip R, Sciarrino F.
The use of coupled HSQC spectra to aid in stereochemical assignments of molecules with severe proton spectral overlap.
Powder-George Y, Frank J, Ramsewak RS, Reynolds WF
A mixture model for quantum dot images of kinesin motor assays.
Hughes J, Fricks J
A Practical Quantum Bit Commitment Protocol
S. Arash Sheikholeslam, T. Aaron Gulliver
A quantum no-reflection theorem and the speeding up of Grover's search algorithm
Karthikeyan S. Kumar, G. S. Paraoanu
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.