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 1-12 of 33
An explicit classical strategy for winning a $\mathrm{CHSH}_{q}$ game
Matej Pivoluska, Martin Plesch
2015
arXiv
arXiv preprint
Analogous Patterns of Student Reasoning Difficulties in Introductory Physics and Upper-Level Quantum Mechanics
Chandralekha Singh, Emily Marshman
2015
arXiv
arXiv preprint
Application of Quantum Annealing to Training of Deep Neural Networks
Steven H. Adachi, Maxwell P. Henderson
2015
arXiv
arXiv preprint
Autonomous Perceptron Neural Network Inspired from Quantum computing
M. Zidan, A. Sagheer, N. Metwally
2015
arXiv
arXiv preprint
Blind quantum machine learning
Yu-Bo Sheng, Lan Zhou
2015
arXiv
arXiv preprint
Characterization of decohering quantum systems: Machine learning approach
Markku P. V. Stenberg, Oliver Köhn, Frank K. Wilhelm
2015
arXiv
arXiv preprint
Corrigendum: Fault-tolerant quantum computation with a soft-decision decoder for error correction and detection by teleportation.
Goto H, Uchikawa H.
2015
Europe PMC
Sci Rep
Decoherence control by quantum decoherence itself.
Roszak K, Filip R, Novotný T.
2015
Europe PMC
Sci Rep
Designing High-Fidelity Single-Shot Three-Qubit Gates: A Machine Learning Approach
Ehsan Zahedinejad, Joydip Ghosh, Barry C. Sanders
2015
arXiv
arXiv preprint
Developing an Interactive Tutorial on a Mach-Zehnder Interferometer with Single Photons
Chandralekha Singh, Emily Marshman
2015
arXiv
arXiv preprint
Developing an Interactive Tutorial on a Quantum Eraser
Emily Marshman, Chandralekha Singh
2015
arXiv
arXiv preprint
Efficient synthesis of universal repeat-until-success quantum circuits.
Bocharov A, Roetteler M, Svore KM.
2015
Europe PMC
Phys Rev Lett