Quantum Machine Learning
86 papers 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 49-60 of 86
The astounding exhaustiveness and speed of the Astral mass analyzer for highly complex samples is a quantum leap in the functional analysis of microbiomes
Thibaut Dumas, Roxana Martinez Pinna, Clément Lozano, Sonja Radau, Olivier Pible, Lucia Grenga, Jean Armengaud
ℤ<sub>2</sub> × ℤ<sub>2</sub> Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks
Zhongtian Dong, Marçal Comajoan Cara, Gopal Ramesh Dahale, Roy T. Forestano, Sergei Gleyzer, Daniel Justice, Kyoungchul Kong, Tom Magorsch, Konstantin T. Matchev, Katia Matcheva, Eyup B. Unlu
A Survey of Machine Learning Assisted Continuous-Variable Quantum Key Distribution
Nathan K. Long, Robert Malaney, Kenneth J. Grant
Bit Flipping Key Encapsulation for the Post-Quantum Era
Mohammad Reza Nosouhi, Syed Wajid Ali Shah, Lei Pan, Robin Doss
Deuterium oxide validation of bioimpedance total body water estimates in Hispanic adults
Grant M. Tinsley, Kyung-Shin Park, Catherine Saenz, Ayush Mehra, Michael R. Esco, Stefan A. Czerwinski, Brett S. Nickerson
EntangleVR++: evaluating the potential of using entanglement in an interactive VR scene creation system
Mengyu Chen, Marko Peljhan, Misha Sra, Misha Sra
On the Applicability of Quantum Machine Learning
Sebastian Raubitzek, Kevin Mallinger
Small insulator target detection based on multi‐feature fusion
Minan Tang, Kai Liang, Jiandong Qiu
TTN‐FCN: A Tangut character classification framework by tree tensor network and fully connected neural network
Ziping Ma, Jinlin Ma
Variational Quantum Process Tomography of Non-Unitaries
Shichuan Xue, Yizhi Wang, Yong Liu, Weixu Shi, Junjie Wu
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
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