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 4033-4044 of 4,130
Quantum Algorithms for Matrix Products over Semirings
François Le Gall, Harumichi Nishimura
Quantum Annealing and Computation: A Brief Documentary Note
Asim Ghosh, Sudip Mukherjee
Quantum computation of discrete logarithms in semigroups
Andrew M. Childs, Gábor Ivanyos
Quantum Ensemble Classification: A Sampling-based Learning Control Approach
Chunlin Chen, Daoyi Dong, Bo Qi, Ian R. Petersen, Herschel Rabitz
Quantum information processing with hybrid spin-photon qubit encoding.
Carretta S, Chiesa A, Troiani F, Gerace D, Amoretti G, Santini P.
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.