Quantum Machine Learning
4,009 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 3769-3780 of 4,009
Quantum Neuron: an elementary building block for machine learning on quantum computers
Yudong Cao, Gian Giacomo Guerreschi, Alán Aspuru-Guzik
Quantum Privacy-Preserving Perceptron
Shenggang Ying, Mingsheng Ying, Yuan Feng
Quantum resource estimates for computing elliptic curve discrete logarithms
Martin Roetteler, Michael Naehrig, Krysta M. Svore, Kristin Lauter
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