Quantum Machine Learning
4,009 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 1033-1044 of 4,009
Quantum Routing Beyond Pathfinding: Multipartite Entanglement Complementation
Si-Yi Chen, Angela Sara Cacciapuoti, Marcello Caleffi
Quantum secure blind decryption with two users
Masahito Hayashi, Yuki Ito
Quantum sensing for sustainable infrastructure: Performance evaluation, IoT integration, and future directions
Amina Aghanim, Aziz Oukaira, Rafik Lasri, Otman Oulhaj, Jamal Zbitou, Mohamed Guermal, Yassmine Esshaimi, Katia Meziani, Nouhaida El Aziz
Quantum Sentinel Framework: Machine Learning-Based Detection and Mitigation of Quantum-Vulnerable Cryptography
Aldossary SM, Kolhar M.
Quantum Sidecar Architectures for Hybrid AI Training and Inference: Stateful Protected Registers, Stateless Reset-and-Reprepare Circuits and Quantum Weight-State Outlook
Y. Mo, G. D. Su
Quantum Spectral Authentication under Public Unitary Challenges
S. P. Kish, H. J. Vallury, J. Pieprzyk, C. Thapa, S. Camtepe
Quantum spectral method for gradient and Hessian estimation
Yuxin Zhang, Changpeng Shao
Quantum Speedup for Network Coordination via Fourier Sparsity
Vinayak Dixit
Quantum State Preparation via Neural Network Encoding in Quantum Machine Learning
Kevin W. Aoun, Florian J. Kiwit, Carlos A. RiofrÃo, Samer Saab, Charbel Al Bateh, Joe Tekli, Andre Luckow
Quantum Subliminal Learning
Shi-Xin Zhang, Yu-Qin Chen
Quantum Super-resolution by Adaptive Non-local Observables
Hsin-Yi Lin, Huan-Hsin Tseng, Samuel Yen-Chi Chen, Shinjae Yoo
Quantum swarm-optimized DV-Hop algorithm for accurate localization of weak nodes in wireless sensor networks.
Khan ZU, Gao H, Ma J, Aman M