Quantum Machine Learning
4,297 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 2413-2424 of 4,297
Non-Unitary Quantum Machine Learning
Jamie Heredge, Maxwell West, Lloyd Hollenberg, Martin Sevior
NordIQuEst: the Nordic-Estonian Quantum Computing e-Infrastructure Quest
Costantino Carugno, Jake Muff, Mikael P. Johansson, Sven Karlsson, Alberto Lanzanova
On Bounded Advice Classes
Simon Marshall, Casper Gyurik, Vedran Dunjko
On the Capacity of the Quantum Switch with and without Entanglement Decoherence
Víctor Valls, Panagiotis Promponas, Leandros Tassiulas
On the impact of key design aspects in simulated Hybrid Quantum Neural Networks for Earth Observation
Lorenzo Papa, Alessandro Sebastianelli, Gabriele Meoni, Irene Amerini
On the relation between trainability and dequantization of variational quantum learning models
Elies Gil-Fuster, Casper Gyurik, Adrián Pérez-Salinas, Vedran Dunjko
ONDA: A High-Level Quantum Programming Language with Sequential Execution and Conditional Branching
Francesco Junior De Gregorio
Online Quantum Game Jam
Laura Piispanen, Daria Anttila, Natasha Skult
Optimal discrimination of quantum sequences
Tathagata Gupta, Shayeef Murshid, Vincent Russo, Somshubhro Bandyopadhyay
Optimal quantum state tomography with local informationally complete measurements
Casey Jameson, Zhen Qin, Alireza Goldar, Michael B. Wakin, Zhihui Zhu, Zhexuan Gong
Optimizing Variational Quantum Circuits Using Metaheuristic Strategies in Reinforcement Learning
Michael Kölle, Daniel Seidl, Maximilian Zorn, Philipp Altmann, Jonas Stein, Thomas Gabor
PACMan: A software package for automated single-cell chlorophyll fluorometry.
Pontén O, Xiao L, Kutter J, Cui Y, Wählby C, Behrendt L