Quantum Machine Learning
3,957 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 3337-3348 of 3,957
Lackadaisical quantum walks on triangular and honeycomb 2D grids
Nikolajs Nahimovs
Laplacian Eigenmaps with variational circuits: a quantum embedding of graph data
Slimane Thabet, Jean-Francois Hullo
Learning on-top: regressing the on-top pair density for real-space visualization of electron correlation
Alberto Fabrizio, Ksenia R. Briling, David D. Girardier, Clemence Corminboeuf
Learning phase transitions in ferrimagnetic GdFeCo alloys
N. A. Koritsky, S. V. Solov'yov, A. K. Fedorov, A. K. Zvezdin
Learning temporal data with variational quantum recurrent neural network
Yuto Takaki, Kosuke Mitarai, Makoto Negoro, Keisuke Fujii, Masahiro Kitagawa
Leveraging Digital Technology to Overcome Barriers in the Prosthetic and Orthotic Industry: Evaluation of its Applicability and Use During the COVID-19 Pandemic
Binedell, Trevor, Subburaj, Karupppasamy, Wong, Yoko, Blessing, Lucienne T M
Lightweight Mediated Semi-Quantum Secret Sharing Protocol
Chia-Wei Tsai, Zong-Liang Zhang, Bo-Cheng Jian, Yao-Chung Chang
Low-temperature environments for quantum computation and quantum simulation
Hailong Fu, Pengjie Wang, Zhenhai Hu, Yifan Li, Xi Lin
Machine Learning Optimization of Quantum Circuit Layouts
Alexandru Paler, Lucian M. Sasu, Adrian Florea, Razvan Andonie
Machine learning pipeline for quantum state estimation with incomplete measurements
Onur Danaci, Sanjaya Lohani, Brian T. Kirby, Ryan T. Glasser
Machine learning recognition of light orbital-angular-momentum superpositions
B. Pinheiro da Silva, B. A. D. Marques, R. B. Rodrigues, P. H. Souto Ribeiro, A. Z. Khoury
Markovian Quantum Neuroevolution for Machine Learning
Zhide Lu, Pei-Xin Shen, Dong-Ling Deng