Quantum Machine Learning
7 papers for year 2020 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 1-7 of 7
Detecting outliers in segmented genomes of flu virus using an alignment-free approach
Mosaab Daoud
Expressibility and trainability of parametrized analog quantum systems for machine learning applications
Jirawat Tangpanitanon, Supanut Thanasilp, Ninnat Dangniam, Marc-Antoine Lemonde, Dimitris G. Angelakis
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