Quantum Machine Learning
659 papers from Crossref
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 565-576 of 659
Directly imaging current distributions of nanowire networks during electrical annealing with solid-state spins
Enhui Wang, Xiang-dong Chen, Guang-can Guo, Fang-wen Sun
Game Changer in Cybersecurity: Quantum Cryptography
Amitabh VERMA
Glutathione-Capped CdTe Quantum Dots Based Sensors for Detection of H2O2 and Enrofloxacin in Foods Samples
Shijie Li, Linqing Nie, Lin Han, Wenjun Wen, Junping Wang, Shuo Wang
HOTS-Speed Test Integrated Quantum Learning Model: Can Improve Mathematical Concept Mastery?
I Wayan Eka Mahendra
Introduction to Quantum Computing with IBM Quantum Experience Using Qiskit and OpenQASM
Jong Wan Lee*
Local Approach to Quantum-inspired Classification
Enrico Blanzieri, Roberto Leporini, Davide Pastorello
Local quantum overlapping tomography
Bruna G. M. Araújo, Márcio M. Taddei, Daniel Cavalcanti, Antonio Acín
Missing Value Estimation Framework Using Quantum Mechanics-based Generative Adversarial Network
Eunseo Oh, Hyunsoo Lee
Performance of surface codes in realistic quantum hardware
Antonio deMarti iOlius, Josu Etxezarreta Martinez, Patricio Fuentes, Pedro M. Crespo, Javier Garcia-Frias
Possibilistic simulation of quantum circuits by classical circuits
Daochen Wang
Post-Quantum Cryptography
Jose Pinto
Presence and Absence of Barren Plateaus in Tensor-Network Based Machine Learning
Zidu Liu, Li-Wei Yu, L.-M. Duan, Dong-Ling Deng