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 3865-3876 of 3,957
Quantum oblivious transfer and bit commitment protocols based on two non-orthogonal states coding
Li Yang
Quantum state tomography via linear regression estimation.
Qi B, Hou Z, Li L, Dong D, Xiang G, Guo G.
Retrieving and Routing Quantum Information in a Quantum Network
Sk Sazim, Chiranjeevi Vanarasa, Indranil Chakrabarty, Kannan Srinathan
State-dependent linear-optical qubit amplifier
Karol Bartkiewicz, Antonín Černoch, Karel Lemr
Swarm optimization for adaptive phase measurements with low visibility
Alexander J. F. Hayes, Dominic W. Berry
The role of the probability current for time measurements
Nicola Vona, Detlef Dürr
Thermally assisted quantum annealing of a 16-qubit problem.
Dickson NG, Johnson MW, Amin MH, Harris R, Altomare F, Berkley AJ, Bunyk P, Cai J, Chapple EM, Chavez P, Cioata F, Cirip T, Debuen P, Drew-Brook M, Enderud C, Gildert S, Hamze F, Hilton JP, Hoskinson E, Karimi K, Ladizinsky E, Ladizinsky N, Lanting T, Mahon T, Neufeld R, Oh T, Perminov I, Petroff C, Przybysz A, Rich C, Spear P, Tcaciuc A, Thom MC, Tolkacheva E, Uchaikin S, Wang J, Wilson AB, Merali Z, Rose G.
Time optimization and state-dependent constraints in the quantum optimal control of molecular orientation
M. Ndong, C. Koch, D. Sugny
Topological quantum computing with a very noisy network and local error rates approaching one percent.
Nickerson NH, Li Y, Benjamin SC.
Tripartite Blind Quantum Computation
Min Liang
Design of magnetic coordination complexes for quantum computing.
Aromí G, Aguilà D, Gamez P, Luis F, Roubeau O.
Magnetoencephalography: From SQUIDs to neuroscience. Neuroimage 20th anniversary special edition.
Hari R, Salmelin R