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quant-ph2026
Benchmarking Quantum Feature Encoding Strategies for Binary Classification with QSVM
Murat Kurt
The way in which classical data are encoded into quantum states plays a significant role in both classification performance and quantum circuit complexity in Quantum Machine Learni…
quant-ph2026
A Correlation Aware Quantum Feature Map for Variational Quantum Classification
Murat Kurt
Quantum machine learning has emerged as a promising research area for learning complex data patterns. However, most existing quantum feature maps employ fixed encoding strategies t…
quant-ph2026
Variational Quantum Eigensolver for the Analysis of High-Resolution NMR Spectra: Applications to AB and AB2 Spin Systems
Murat Kurt, Ayda Kaltehei, Selçuk Çakmak +1
The Variational Quantum Algorithms (VQAs) are hybrid quantum-classical algorithms and they can be used in the Nosiy Intermadiate Scale Quantum (NISQ) devises. The Variational Quant…