Quantum Machine Learning
86 papers from DOAJ
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 73-84 of 86
Feasibility Assessments Using Unmanned Aerial Vehicle Technology in Heritage Buildings: Rehabilitation-Restoration, Spatial Analysis and Tourism Potential Analysis
Paul Sestras, Sanda Roșca, Ștefan Bilașco, Sanda Naș, Stefan M. Buru, Leontina Kovacs, Velibor Spalević, Adriana F. Sestras
High-Throughput Calculations for High-Entropy Alloys: A Brief Review
Ruixuan Li, Lu Xie, William Yi Wang, Peter K. Liaw, Yong Zhang, Yong Zhang
Leveraging Digital Technology to Overcome Barriers in the Prosthetic and Orthotic Industry: Evaluation of its Applicability and Use During the COVID-19 Pandemic
Binedell, Trevor, Subburaj, Karupppasamy, Wong, Yoko, Blessing, Lucienne T M
Quantum chemical exercise linking computational chemistry to general chemistry topics
Simpson Scott, Evanoski-Cole Ashley, Gast Kellie, Wedvik Madeleine C., Schneider Patrick W., Klingensmith Isaac
The e-learning future in Algeria
Abdelkader Abbasi, Mustafa Foudi
An Assessment of the Compatibility of Al-Mustafa University of Qom with the Components of Learning, Agile and Quantum Organizations from the Views of the Employees
hamid rahimi, mojtaba mohammad alizadeh
Application of Improved BQGA in Robot Kinematics Inverse Solution
Xiaoqing Lv, Ming Zhao
The Effect of Quantum Leadership on Organizational Learning through the Mediating Role of Knowledge Sharing (Case study: Teachers and Principals at High schools in the Educational Office, District 1, of Zahedan)
Hassan Ghaffari, Morteza Shayani, Farahnaz Ahang, Aboobakr Raeasee, Mohim Sheyhaki tash
Evolutionary Transition in the Late Neogene Planktonic Foraminiferal Genus Truncorotalia
Russell D.C. Bicknell, Katie S. Collins, Martin Crundwell, Michael Hannah, James S. Crampton, Nicolás E. Campione
Multiqubit and multilevel quantum reinforcement learning with quantum technologies.
F A Cárdenas-López, L Lamata, J C Retamal, E Solano
Majority-layered T hybridization using quantum-dot cellular automata
Chiradeep Mukherjee, Saradindu Panda, Asish Kumar Mukhopadhyay, Bansibadan Maji
PERBEDAAN HASIL BELAJAR MATEMATIKA SISWA YANG DIAJARKAN MENGGUNAKAN QUANTUM LEARNING TEKNIK MIND MAPPING DENGAN COOPERATIVE LEARNING TEKNIK JIGSAW DI SMP NEGERI 18 TANGERANG
Ahmad Fahrudin