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 625-636 of 659
Performance Appraisal and Static Behaviour Modeling of a Nano-scale Flash Memory Cell by Using Quantum Dots' Floating Gate
Rasika Dhavse, Suresh Kumar K., Vivekanand Mishra, Rajendra M Patrikar
Potassium-Induced Passivation of Deep Traps in Bismuth-Doped Hybrid Lead Bromide Perovskite Nanocrystals: Massive Amplification of Photoluminescence Quantum Yield
Shovon Chatterjee, Mainak Ghosal, Khushubo Tiwari, Pratik Sen
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