Quantum Machine Learning
7 papers for year 2022 from DOAJ
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 1-7 of 7
An Image Encryption Algorithm Based on Discrete-Time Alternating Quantum Walk and Advanced Encryption Standard
Guangzhe Liu, Wei Li, Xingkui Fan, Zhuang Li, Yuxuan Wang, Hongyang Ma
2022
DOAJ
Entropy
Conductance-Aware Quantization Based on Minimum Error Substitution for Non-Linear-Conductance-State Tolerance in Neural Computing Systems
Chenglong Huang, Nuo Xu, Wenqing Wang, Yihong Hu, Liang Fang
2022
DOAJ
Micromachines
On the Development of the Scientific Base of Quantum Technologies
A. I. Terekhov
2022
DOAJ
Ekonomika Nauki
Scattering-Assisted Computational Imaging
Yiwei Sun, Xiaoyan Wu, Jianhong Shi, Guihua Zeng
2022
DOAJ
Photonics
The Feasibility of the CRYSTALS-Kyber Scheme for Smart Metering Systems
Vinicius L. R. Da Costa, Andrei Camponogara, Julio Lopez, Moises V. Ribeiro
2022
DOAJ
IEEE Access
Three-dimensional natural color imaging based on focus level correlation algorithm using structured illumination microscopy
Mengrui Wang, Mengrui Wang, Tianyu Zhao, Zhaojun Wang, Kun Feng, Jingrong Ren, Yansheng Liang, Shaowei Wang, Ming Lei
2022
DOAJ
Frontiers in Physics
Trie-based ranking of quantum many-body states
Markus Wallerberger, Karsten Held
2022
DOAJ
Physical Review Research