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 553-564 of 659
Variational Quantum-Classical Algorithms: A Review of Theory, Applications, and Opportunities
Philip Adebayo, Frederick Basaky, Edgar Osaghae
A Multicomponent Nucleic Acid Enzyme-Cleavable Quantum Dot Nanobeacon for Highly Sensitive Diagnosis of Tuberculosis with the Naked Eye
Ou Hu, Zeyu Li, Jinghao Wu, Yaoju Tan, Zuanguang Chen, Yanli Tong
A Needs Analysis Study in Developing Quantum Physics Instructional Module for Secondary School With an Integrated Stem Education Approach
Laurah Markus
A needs analysis study in developing quantum physics instructional module for secondary school with an integrated stem education approach
Laurah Markus
A Novel Framework For Brain Disease Classification Using Quantum Convolutional Neural Network
Sanskriti Chandra, Shivam Saxena, Santosh Kumar, Mithilesh Kumar Chaube, Narendra Kuber Bodhey
Application of Quantum Teaching Method to Science Learning Outcomes for Class VI in Elementary Schools
Yuyun Lestari
Blockchain and quantum cryptography: Future of secure telecommunications in banking
Olajide Soji Osundare, Chidiebere Somadina Ike, Ololade Gilbert Fakeyede, Adebimpe Bolatito Ige
Calibrating the Classical Hardness of the Quantum Approximate Optimization Algorithm
Maxime Dupont, Nicolas Didier, Mark J. Hodson, Joel E. Moore, Matthew J. Reagor
Challenges and opportunities of quantum-computational chemistry
Zhenyu Li, Jie Liu, Xiangjian Shen, Feixue Gao
Classical and quantum metrology of the Lieb-Liniger model
Jae-Gyun Baak, Uwe R. Fischer
Digital quantum simulation of an extended Agassi model: Using machine learning to disentangle its phase-diagram
Álvaro Sáiz, José-Enrique García-Ramos, José Miguel Arias, Lucas Lamata, Pedro Pérez-Fernández
Direct fidelity estimation of quantum states using machine learning
Xiaoqi Zhou