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 157-168 of 659
Machine learning and artificial intelligence in perovskite quantum dot electroanalysis: From data-driven synthesis to intelligent sensing interfaces
Mohamed Abu Shuheil, Ahmed Aldulaimi, Rekha M M, Subhashree Ray, Omayma salim waleed, CP. Surya, Renu Sharma, Vatsal Jain, Hadi Noorizadeh, Mosstafa Kazemi
Machine learning approach to tomographic pattern generation and classification of quantum states of light
Anonymous
Machine Learning Decoding of Circuit-Level Noise for Bivariate Bicycle Codes
John Blue, Harshil Avlani, Zhiyang He, Liu Ziyin, Isaac L. Chuang
Machine learning-driven surface and interface engineering in perovskite quantum dots for photoluminescence-based and chemical sensing platforms
Ghaleb Oriquat, Kwthr Hafdh Jbar, Omayma Salim Waleed, Manoj A. Vora, Roopashree R, Lalita Chopra, Sadridin Eshkaraev, Dushamov Dilshod Azadovich, Hadi Nooriadeh
Machine Learning–Enhanced Quantum–Classical Benders Decomposition for Stochastic Unit Commitment
Reza Mahroo, Amin Kargarian
Machine learning–guided thermal stability and degradation kinetics of ultra-fine polyamide-derived carbon quantum dots
Christian Ebere Enyoh, Qingyue Wang
MAG-Q: Multi-agent Actor-Critic based GRL with Quantum inspired Forwarding for Enhanced Task Offloading in Clustered Fog Computing environment
Nilesh Kumar Verma, K. Jairam Naik
Mathematical modeling and feature extraction architecture of a quantum-inspired attention network for UAV image classification
Hanaa Abu-Zinadah, Sayed Abdel-Khalek
Maximizing the non-demolition nature of a quantum measurement via an adaptive readout protocol
Anonymous
Mechanism-aware analysis of Cu-doped CoCr2O4 via machine learning and quantum-inspired electrochemical methods
Ming-Kang Ho, Shih-Lung Yu, Yi-En Wu, Wei-Che Lo, Tsu-En Hsu, Hai Yen Thi Nguyen, K. Manjunatha, H. Nagabhushana, Meng-Chu Chen, Sheng Yun Wu
Mitigating ransomware threats through network traffic analysis using hybrid quantum-attention stereoscopic neural networks
M. Srinivasulu, M. Prasad, M. Elangovan, Pamidimukkala Sai Geetha
Mitigating vanishing similarity in quantum kernels for DDoS attack detection
Arturo Rodríguez-Almazán, Guillermo Rivas, Pablo Plaza, Angélica González-Arrieta, Ricardo S. Alonso