Quantum Machine Learning
33 papers for year 2015
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 13-24 of 33
Entanglement discrimination in multi-rail electron-hole currents
J. P. Baltanás, D. Frustaglia
Experimental superposition of orders of quantum gates.
Procopio LM, Moqanaki A, Araújo M, Costa F, Alonso Calafell I, Dowd EG, Hamel DR, Rozema LA, Brukner Č, Walther P.
Fast machine-learning online optimization of ultra-cold-atom experiments
P. B. Wigley, P. J. Everitt, A. van den Hengel, J. W. Bastian, M. A. Sooriyabandara, G. D. McDonald, K. S. Hardman, C. D. Quinlivan, P. Manju, C. C. N. Kuhn, I. R. Petersen, A. Luiten, J. J. Hope, N. P. Robins, M. R. Hush
Hadronic deuteron polarizability contribution to the Lamb shift in muonic deuterium
A. V. Eskin, R. N. Faustov, A. P. Martynenko, F. A. Martynenko
Hybrid quantum gates between flying photon and diamond nitrogen-vacancy centers assisted by optical microcavities.
Wei HR, Long GL.
NAND-Trees, Average Choice Complexity, and Effective Resistance
Stacey Jeffery, Shelby Kimmel
Negative Probabilities and Contextuality
J. Acacio de Barros, Janne Kujala, Gary Oas
New self-dual additive $\mathbb{F}_4$-codes constructed from circulant graphs
Markus Grassl, Masaaki Harada
Play or science?: a study of learning and framing in crowdscience games
Andreas Lieberoth, Mads Kock Pedersen, Jacob Sherson
Quantum Communication
Nicolas Gisin
Quantum Cryptography: where do we stand?
Nicolas Gisin
Quantum gate learning in engineered qubit networks: Toffoli gate with always-on interactions
Leonardo Banchi, Nicola Pancotti, Sougato Bose