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 2305-2316 of 4,297
Fast generation of entanglement between coupled spins using optimization and deep learning methods
Dimitris Koutromanos, Dionisis Stefanatos, Emmanuel Paspalakis
Fast Laplace transforms on quantum computers
Julien Zylberman
Faster and Better Quantum Software Testing through Specification Reduction and Projective Measurements
Noah H. Oldfield, Christoph Laaber, Tao Yue, Shaukat Ali
First Photon Machine Learning
Lili Li, Santosh Kumar, Malvika Garikapati, Yu-Ping Huang
Flood Prediction Using Classical and Quantum Machine Learning Models
Marek Grzesiak, Param Thakkar
Flow-Based Sampling for Entanglement Entropy and the Machine Learning of Defects
Andrea Bulgarelli, Elia Cellini, Karl Jansen, Stefan Kühn, Alessandro Nada, Shinichi Nakajima, Kim A. Nicoli, Marco Panero
FreeCG: Free the Design Space of Clebsch-Gordan Transform for Machine Learning Force Fields
Shihao Shao, Haoran Geng, Zun Wang, Qinghua Cui
From {\tt Ferminet} to PINN. Connections between neural network-based algorithms for high-dimensional Schrödinger Hamiltonian
Mashhood Khan, Emmanuel Lorin
Full classification of Pauli Lie algebras
Gerard Aguilar, Simon Cichy, Jens Eisert, Lennart Bittel
Generalization Error in Quantum Machine Learning in the Presence of Sampling Noise
Fangjun Hu, Xun Gao
Generating and analyzing small-size datasets to explore physical observables in quantum Ising systems
Rodrigo Carmo Terin
Geometric Quantum Machine Learning with Horizontal Quantum Gates
Roeland Wiersema, Alexander F. Kemper, Bojko N. Bakalov, Nathan Killoran