Quantum Machine Learning
290 papers from Europe PMC
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 217-228 of 290
Theoretical description and experimental simulation of quantum entanglement near open time-like curves via pseudo-density operators.
Marletto C, Vedral V, Virzì S, Rebufello E, Avella A, Piacentini F, Gramegna M, Degiovanni IP, Genovese M, Genovese M.
Training of quantum circuits on a hybrid quantum computer.
Zhu D, Linke NM, Benedetti M, Landsman KA, Nguyen NH, Alderete CH, Perdomo-Ortiz A, Korda N, Garfoot A, Brecque C, Egan L, Perdomo O, Monroe C.
64-qubit quantum circuit simulation.
Chen ZY, Zhou Q, Xue C, Yang X, Guo GC, Guo GP.
A Comparison of the Bravyi-Kitaev and Jordan-Wigner Transformations for the Quantum Simulation of Quantum Chemistry.
Tranter A, Love PJ, Mintert F, Coveney PV.
A two-qubit molecular architecture for electron-mediated nuclear quantum simulation.
Atzori M, Chiesa A, Morra E, Chiesa M, Sorace L, Carretta S, Sessoli R.
Double Quantum Image Encryption Based on Arnold Transform and Qubit Random Rotation.
Liu X, Xiao D, Liu C.
Implementation of an efficient linear-optical quantum router.
Bartkiewicz K, Černoch A, Lemr K.
One-out-of-two Quantum Oblivious Transfer based on Nonorthogonal States.
Chou YH, Zeng GJ, Kuo SY.
Quantum Artificial Life in an IBM Quantum Computer.
Alvarez-Rodriguez U, Sanz M, Lamata L, Solano E.
Quantum++: A modern C++ quantum computing library.
Gheorghiu V.
Validating quantum-classical programming models with tensor network simulations.
McCaskey A, Dumitrescu E, Chen M, Lyakh D, Humble T.
Application of optimal band-limited control protocols to quantum noise sensing.
Frey VM, Mavadia S, Norris LM, de Ferranti W, Lucarelli D, Viola L, Biercuk MJ.