Quantum Machine Learning
88 papers for year 2018
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 85-88 of 88
Two new results about quantum exact learning
Srinivasan Arunachalam, Sourav Chakraborty, Troy Lee, Manaswi Paraashar, Ronald de Wolf
2018
arXiv
arXiv preprint
Using Reinforcement Learning to find Efficient Qubit Routing Policies for Deployment in Near-term Quantum Computers
Steven Herbert, Akash Sengupta
2018
arXiv
arXiv preprint
Validating quantum-classical programming models with tensor network simulations.
McCaskey A, Dumitrescu E, Chen M, Lyakh D, Humble T.
2018
Europe PMC
PLoS One
Variational Quantum State Diagonalization
Ryan LaRose, Arkin Tikku, Étude O'Neel-Judy, Lukasz Cincio, Patrick J. Coles
2018
arXiv
arXiv preprint