Quantum Machine Learning
248 papers for year 2022
Showing 109-120 of 248
Improving the Efficiency of Payments Systems Using Quantum Computing
Christopher McMahon, Donald McGillivray, Ajit Desai, Francisco Rivadeneyra, Jean-Paul Lam, Thomas Lo, Danica Marsden, Vladimir Skavysh
2022
arXiv
arXiv preprint
Inability of a graph neural network heuristic to outperform greedy algorithms in solving combinatorial optimization problems like Max-Cut
Stefan Boettcher
2022
arXiv
arXiv preprint
Introducing the Quantum Research Kernels: Lessons from Classical Parallel Computing
A. Y. Matsuura, Timothy G. Mattson
2022
arXiv
arXiv preprint
Introduction to Quantum Computing with IBM Quantum Experience Using Qiskit and OpenQASM
Jong Wan Lee*
2022
Crossref
New Physics: Sae Mulli
Investigating Quantum Many-Body Systems with Tensor Networks, Machine Learning and Quantum Computers
Korbinian Kottmann
2022
arXiv
arXiv preprint
Iteration Complexity of Variational Quantum Algorithms
Vyacheslav Kungurtsev, Georgios Korpas, Jakub Marecek, Elton Yechao Zhu
2022
arXiv
arXiv preprint
Kernel-based quantum regressor models learn non-Markovianity
Diego Tancara, Hossein T. Dinani, Ariel Norambuena, Felipe F. Fanchini, Raúl Coto
2022
arXiv
arXiv preprint
LEAN-DMKDE: Quantum Latent Density Estimation for Anomaly Detection
Joseph Gallego-Mejia, Oscar Bustos-Brinez, Fabio A. González
2022
arXiv
arXiv preprint
Learning dynamical systems: an example from open quantum system dynamics
Pietro Novelli
2022
arXiv
arXiv preprint
Learning Fourier series with parametrized quantum circuits
Dirk Heimann, Hans Hohenfeld, Gunnar Schönhoff, Elie Mounzer, Frank Kirchner
2022
arXiv
arXiv preprint
Learning to predict arbitrary quantum processes
Hsin-Yuan Huang, Sitan Chen, John Preskill
2022
arXiv
arXiv preprint
Local Approach to Quantum-inspired Classification
Enrico Blanzieri, Roberto Leporini, Davide Pastorello
2022
Crossref
International Journal of Theoretical Physics