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 937-948 of 4,009
Quantum Circuit Synthesis Using an Exact T Library
Hanyu Wang, Mingfei Yu, Xinrui Wu, Jason Cong
Quantum Circuit-Based Learning Models: Bridging Quantum Computing and Machine Learning
Fan F, Shi Y, Datcu M, Saux BL, Iapichino L, Bovolo F, Ullo SL, Zhu XX.
Quantum Circuit-Based Learning Models: Bridging Quantum Computing and Machine Learning
Fan Fan, Yilei Shi, Mihai Datcu, Bertrand Le Saux, Luigi Iapichino, Francesca Bovolo, Silvia Liberata Ullo, Xiao Xiang Zhu
Quantum computation and machine learning in high energy nuclear physics
Shuzhe Shi
Quantum computation at the edge of chaos
Tomohiro Hashizume, Zhengjun Wang, Frank Schlawin, Dieter Jaksch
Quantum Computing : Fundamental Principles, Quantum Algorithms, and Emerging Applications
Koteswararao P, Dr. G. Vishnumurthy, P.Varalaxmi,, T. Lohithsrinivas4, K. S Siva Rama Krishnan
Quantum Computing Advancement: Applications, Initiatives, Challenges and Ethical Concerns up to 2025
Farial Mahmod Tishan
Quantum Computing and AI’s Role in Shaping the Future of Carbon Emissions
Yurukcu M, Nandakumar H, Khmurovich A.
Quantum Computing and Visualization Research Challenges and Opportunities
E. Wes Bethel, Roel Van Beeumen, Talita Perciano
Quantum computing for biotechnological innovation: transformative potential in biomedicine and drug discovery.
Sung JY, Park SM, Cheong JH.
Quantum Computing for Cryptography: Breaking Encryption Algorithms
Mrs. G. Sujatha
Quantum computing for power system reliability assessment with distributed energy resources
Manuel S. Alvarez-Alvarado, Maria J. Ramirez-Prado, Nabih Pico, Estrella Montero, Carlos D. Rodríguez-Gallegos, Washington Velasquez