3 papers
cs.LG2025
Quantum Neural Networks for Wind Energy Forecasting: A Comparative Study of Performance and Scalability with Classical Models
Batuhan Hangun, Oguz Altun, Onder Eyecioglu
Quantum Neural Networks (QNNs), a prominent approach in Quantum Machine Learning (QML), are emerging as a powerful alternative to classical machine learning methods. Recent studies…
quant-ph2025
Comparative Analysis of QNN Architectures for Wind Power Prediction: Feature Maps and Ansatz Configurations
Batuhan Hangun, Emine Akpinar, Oguz Altun +1
Quantum Machine Learning (QML) is an emerging field at the intersection of quantum computing and machine learning, aiming to enhance classical machine learning methods by leveragin…
cs.LG2025
Quantum-Enhanced Classification of Brain Tumors Using DNA Microarray Gene Expression Profiles
Emine Akpinar, Batuhan Hangun, Murat Oduncuoglu +3
DNA microarray technology enables the simultaneous measurement of expression levels of thousands of genes, thereby facilitating the understanding of the molecular mechanisms underl…