Quantum Machine Learning
705 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 673-684 of 705
Quantum Computer Architecture From Non-Conventional Physical Simulation Up To Encryption Cracking, Machine Learning Application, And More
Hasan Abbas Al-Mohammed, Muhammed Samir Al-Ali, Mahdi Alkaeed
Quantum Computing: An Entanglement Measurement
Mayank Gupta, Manisha J Nene
Quantum Dot Sensitized Solar Cells: A Promising Avenue for Next-Generation Energy Conversion
Pavani Surarapu, Janaki Rama Phanendra Kumar Ande, Aleena Varghese, Suman Reddy Mallipeddi, Dileep Reddy Goda, Sridhar Reddy Yerram, Swathi Kaluvakuri
Quantum machine learning: Transforming cloud-based AI solutions
Bangar Raju Cherukuri
Quantum Radar: A Brief Analytical Study
Hasan Abbas Al-Moahmmed
Quantum Software EngineeringSupremacy in Intelligent Robotics
V. V. Korenkov, A. G. Reshetnikov, S.V. Ulyanov
Quantum speedup in adaptive boosting of binary classification
XiMing Wang, YueChi Ma, Min-Hsiu Hsieh, Man-Hong Yung
Resource prioritization and balancing for the quantum internet
Laszlo Gyongyosi, Sandor Imre
The Effectiveness Of Quantum Learning To Increase Motivation And Mastery Of Arabic Vocabulary Of Learners
Munawarah Munawarah, Haniah Haniah, Kamaluddin Abunawas
Toward a Holistic Understanding of the Formation and Growth of Atmospheric Molecular Clusters: A Quantum Machine Learning Perspective
Jonas Elm
Variational approximation for two-dimensional quantum droplets
Sherzod R. Otajonov, Eduard N. Tsoy, Fatkhulla Kh. Abdullaev
What is Quantum Computing and How it Works
Adjunct Professor, Golden Gate University, Ageno School of Business, Data Analytic, San Francisco, California, USA, Bahman Zohuri, Farhang Mossavar Rahmani, Professor of Finance and Director of MBA School of Business and Management, National University, San Diego, California, USA