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 37-48 of 659
Advancing hybrid quantum neural network for alternating current optimal power flow
Ze Hu, Ziqing Zhu, Linghua Zhu, Xiang Wei, Siqi Bu, Ka Wing Chan
Advancing quantum machine learning from conceptual design to practical use
Sivarama Prasad Tera, Ravikumar Chinthaginjala, Xin Zhao, Monia Hamdi
Advantage with quantum reservoir computing in medical insurance and health data analysis
Muhsin Tamturk, Eran Ginossar, Marco Carenzo
AI driven quantum machine learning for predictive healthcare analytics
Lakshita Aggarwal, Puneet Goswami
AI-Based Cryptography: A Comprehensive Review of Adaptive Encryption, Neural Cryptanalysis, and Post-Quantum Resilience
Mohammed A. Abdewi, Farouk A. Emara, Ashraf A. Gouda, Mohammed A. Razek
An efficient optimization-based incremental quantum convolutional network for milk adulteration detection
Vrishali M. Patil, Savita R. Bhosale
An improved synthesis, X-ray study, and quantum chemistry calculations of novel fused mesoionic heterocycle: substituted 5-thioxo-5,6-dihydro-[1,2,4]triazolo[1,5-c]quinazolin-1-ium-2-thiolates
Sergiy M. Kovalenko, Oleksandr G. Drushlyak, Mariia Kyrpa, Maryna S. Kovalenko, Illia O. Mariutsa, Volodymyr V. Ivanov, Svitlana V. Shishkina, Christian Dank
Application and optimization of quantum-powered generative models for job shop scheduling in semiconductor manufacturing
Truong Ngoc Cuong, Sam-Sang You, Hwan-Seong Kim, Le Ngoc Bao Long, Duy Anh Nguyen, Nguyen Duy Tan
Applications of classical and quantum machine learning in manufacturing: predictive maintenance, scheduling and tribology
Abdullah Jawad, Ethan Stefan-Henningsen, Amirkianoosh Kiani
Approximate Adders with Configurable Input Wiring: A Quantum-dot Cellular Automata Nanocomputing Perspective
Angshuman Khan, Naeem Maroof, M. C. Parameshwara
Arithmetic-Aware Quantum Neural Networks Using Fault-Tolerant BCD-Excess-3 Encoding
Sandip Das
Atomistic Insights into Aqueous Phase Carbonyl Hydrogenation over Ru Catalysts from a Hybrid Quantum Mechanical/Molecular Mechanical/Machine Learning Potential
Mehdi Zare, Dia Sahsah, Paratee Komen, Andreas Heyden