3 citations · 3 across the 5 of their papers we have counts for
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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…
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…
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…
Construction of Boolean Logic Gates Using QFT-Based Adder Architecture
Ayda Kaltehei, Murat Kurt, Azmi Gençten +1
In this study, we construct the quantum reversible counterparts of the logical AND, OR, XOR, NOR, and NAND gates. We utilize a quantum Fourier transform (QFT)-based adder circuit t…
Scalable quantum circuit design for QFT-based arithmetic
Murat Kurt, Ayda Kaltehei, Azmi Gençten +1
In this research, we create a scalable version of the quantum Fourier transform-based arithmetic circuit to perform addition and subtraction operations on N n-bit unsigned integers…
QFT based quantum arithmetic logic unit on IBM quantum computer
Selçuk Çakmak, Murat Kurt, Azmi Gençten
In this study, we constructed a primitive quantum arithmetic logic unit (qALU) based on the quantum Fourier transform. The qALU is capable of performing arithmetic ADD (addition) a…