Quantum Machine Learning
10 papers for year 2014 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 1-10 of 10
Adaptive quantum state estimation of an entangled qubit state.
Lerch S, Stefanov A.
An empirical approach for quantifying loop-mediated isothermal amplification (LAMP) using Escherichia coli as a model system.
Subramanian S, Gomez RD.
Experimental comparison of efficient tomography schemes for a six-qubit state.
Schwemmer C, Tóth G, Niggebaum A, Moroder T, Gross D, Gühne O, Weinfurter H.
Experimental realization of a one-way quantum computer algorithm solving Simon's problem.
Tame MS, Bell BA, Di Franco C, Wadsworth WJ, Rarity JG.
Exponential rise of dynamical complexity in quantum computing through projections.
Burgarth DK, Facchi P, Giovannetti V, Nakazato H, Pascazio S, Yuasa K.
Hybrid architecture for encoded measurement-based quantum computation.
Zwerger M, Briegel HJ, Dür W.
Implementing a strand of a scalable fault-tolerant quantum computing fabric.
Chow JM, Gambetta JM, Magesan E, Abraham DW, Cross AW, Johnson BR, Masluk NA, Ryan CA, Smolin JA, Srinivasan SJ, Steffen M.
Quantum control and process tomography of a semiconductor quantum dot hybrid qubit.
Kim D, Shi Z, Simmons CB, Ward DR, Prance JR, Koh TS, Gamble JK, Savage DE, Lagally MG, Friesen M, Coppersmith SN, Eriksson MA.
Quantum error correction assisted by two-way noisy communication.
Wang Z, Yu S, Fan H, Oh CH.
Quantum resources for purification and cooling: fundamental limits and opportunities.
Ticozzi F, Viola L.