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 2377-2388 of 4,297
Machine Learning approach to reconstruct Density Matrices from Quantum Marginals
Daniel Uzcategui-Contreras, Antonio Guerra, Sebastian Niklitschek, Aldo Delgado
Machine Learning for Improved Current Density Reconstruction from 2D Vector Magnetic Images
Niko R. Reed, Danyal Bhutto, Matthew J. Turner, Declan M. Daly, Sean M. Oliver, Jiashen Tang, Kevin S. Olsson, Nicholas Langellier, Mark J. H. Ku, Matthew S. Rosen, Ronald L. Walsworth
Machine learning meets the CHSH scenario
Gabriel Pereira Alves, Nicolas Gigena, Jędrzej Kaniewski
Machine Learning Message-Passing for the Scalable Decoding of QLDPC Codes
Arshpreet Singh Maan, Alexandru Paler
Machine learning of the Ising model on a spherical Fibonacci lattice
Zheng Zhou, Chen-Hui Song, Xu-Yang Hou, Hao Guo
Machine learning orbital-free density functional theory: taming quantum shell effects in deformed nuclei
X. H. Wu, Z. X. Ren, P. W. Zhao
Machine learning with sub-diffraction resolution in the photon-counting regime
Giuseppe Buonaiuto, Cosmo Lupo
Managing Classical Processing Requirements for Quantum Error Correction
Satvik Maurya, Abtin Molavi, Aws Albarghouthi, Swamit Tannu
mapPat: tracking pathogens evolution in space and time
Erika Ferrandi, Graziano Pesole, Matteo Chiara
Mapping the Field of Quantum Dots Literature: Bibliographic Coupling and Cited Reference
Sargunapathi Rajendran, Jeyshankar Ramalingam, Thanuskodi Shanmugam
Mathematical Approaches to Quantum Computing Algorithms
Bijumon Ramalayathil
Measurement-based uncomputation of quantum circuits for modular arithmetic
Alessandro Luongo, Antonio Michele Miti, Varun Narasimhachar, Adithya Sireesh