36 citations · 41 across the 5 of their papers we have counts for
5 papers
Quantum Digital Twins for Uncertainty Quantification
Soronzonbold Otgonbaatar, Elise Jennings
Modern supercomputers can handle resource-intensive computational and data-driven problems in various industries and academic fields. These supercomputers are primarily made up of…
Exploiting the Quantum Advantage for Satellite Image Processing: Review and Assessment
Soronzonbold Otgonbaatar, Dieter Kranzlmüller
This article examines the current status of quantum computing in Earth observation (EO) and satellite imagery. We analyze the potential limitations and applications of quantum lear…
Quantum-inspired tensor network for Earth science
Soronzonbold Otgonbaatar, Dieter Kranzlmüller
Deep Learning (DL) is one of many successful methodologies to extract informative patterns and insights from ever increasing noisy large-scale datasets (in our case, satellite imag…
Quantum Transfer Learning for Real-World, Small, and High-Dimensional Datasets
Soronzonbold Otgonbaatar, Gottfried Schwarz, Mihai Datcu +1
Quantum machine learning (QML) networks promise to have some computational (or quantum) advantage for classifying supervised datasets (e.g., satellite images) over some conventiona…
Coreset of Hyperspectral Images on Small Quantum Computer
Soronzonbold Otgonbaatar, Mihai Datcu, Begüm Demir
Machine Learning (ML) techniques are employed to analyze and process big Remote Sensing (RS) data, and one well-known ML technique is a Support Vector Machine (SVM). An SVM is a qu…