Quantum Machine Learning
58 papers for year 2017
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 49-58 of 58
Quantum Search on Encrypted Data Based on Quantum Homomorphic Encryption
Qing Zhou, Songfeng Lu
QVECTOR: an algorithm for device-tailored quantum error correction
Peter D. Johnson, Jonathan Romero, Jonathan Olson, Yudong Cao, Alán Aspuru-Guzik
Reaching Agreement in Quantum Hybrid Networks.
Shi G, Li B, Miao Z, Dower PM, James MR.
Remote optimization of an ultra-cold atoms experiment by experts and citizen scientists
Robert Heck, Oana Vuculescu, Jens Jakob Sørensen, Jonathan Zoller, Morten G. Andreasen, Mark G. Bason, Poul Ejlertsen, Ottó Elíasson, Pinja Haikka, Jens S. Laustsen, Lærke L. Nielsen, Andrew Mao, Romain Müller, Mario Napolitano, Mads K. Pedersen, Aske R. Thorsen, Carsten Bergenholtz, Tommaso Calarco, Simone Montangero, Jacob F. Sherson
Speeding-up the decision making of a learning agent using an ion trap quantum processor
Theeraphot Sriarunothai, Sabine Wölk, Gouri Shankar Giri, Nicolai Friis, Vedran Dunjko, Hans J. Briegel, Christof Wunderlich
The Potential Impact of Quantum Computers on Society
Ronald de Wolf
The Road to Quantum Computational Supremacy
Cristian S. Calude, Elena Calude
Twelve years before the quantum no-cloning theorem
Juan Ortigoso
Unsupervised Generative Modeling Using Matrix Product States
Zhao-Yu Han, Jun Wang, Heng Fan, Lei Wang, Pan Zhang
Unsupervised Machine Learning on a Hybrid Quantum Computer
J. S. Otterbach, R. Manenti, N. Alidoust, A. Bestwick, M. Block, B. Bloom, S. Caldwell, N. Didier, E. Schuyler Fried, S. Hong, P. Karalekas, C. B. Osborn, A. Papageorge, E. C. Peterson, G. Prawiroatmodjo, N. Rubin, Colm A. Ryan, D. Scarabelli, M. Scheer, E. A. Sete, P. Sivarajah, Robert S. Smith, A. Staley, N. Tezak, W. J. Zeng, A. Hudson, Blake R. Johnson, M. Reagor, M. P. da Silva, C. Rigetti